claim: While many scientists have acknowledged the mismatch between model predictions and actual temperature observations, few have really challenged the validity of the models themselves.
evidences.evidence_id: Global warming controversy:231
evidences.article: Global warming controversy
evidences.evidence: A 2007 study by David Douglass and coworkers, concluded that the 22 most commonly used global climate models used by the IPCC were unable to accurately predict accelerated warming in the troposphere although they did match actual surface warming, concluding "projections of future climate based on these models should be viewed with much caution".
evidences.votes: SUPPORTS SUPPORTS
evidences.evidence_id: Global warming controversy:232
evidences.article: Global warming controversy
evidences.evidence: This result went against a similar study of 19 models which found that discrepancies between model predictions and actual temperature were likely due to measurement errors.
evidences.votes: SUPPORTS REFUTES
evidences.evidence_id: Global warming controversy:242
evidences.article: Global warming controversy
evidences.evidence: Certain scientists, skeptics and otherwise, believe this confidence in the models' ability to predict future climate is not earned.
evidences.votes: SUPPORTS SUPPORTS
evidences.evidence_id: Machine learning:60
evidences.article: Machine learning
evidences.evidence: Loss functions express the discrepancy between the predictions of the model being trained and the actual problem instances (for example, in classification, one wants to assign a label to instances, and models are trained to correctly predict the pre-assigned labels of a set of examples).
evidences.votes: SUPPORTS NOT_ENOUGH_INFO
evidences.evidence_id: Physics:137
evidences.article: Physics
evidences.evidence: To that end, experiments are performed and observations are made in order to determine the validity or invalidity of the theory.
evidences.votes: SUPPORTS NOT_ENOUGH_INFO