{"id":"W3130331210","doi":"10.1101/2021.02.19.431988","title":"The aversive value of pain in human decision-making","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Psychology of Moral and Emotional Judgment","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University; Institut Universitaire de Gériatrie de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; International Association for the Study of Pain","keywords":"Harm; Maximization; Utility maximization; Value (mathematics); Psychology; Profit (economics); Economics; Chronic pain; Microeconomics; Medicine; Social psychology; Psychiatry; Statistics; Mathematics; Mathematical economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001818237,0.0002184032,0.0002398503,0.0002637797,0.0003350034,0.002056596,0.0001996132,0.0004395623,0.00266338],"category_scores_gemma":[0.007914709,0.000205651,0.0001751965,0.0001536223,0.001359615,0.0008226305,0.0006931574,0.0009456199,0.0001454764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004106653,"about_ca_system_score_gemma":0.0002965474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000385759,"about_ca_topic_score_gemma":0.0003852693,"domain_scores_codex":[0.998606,0.000830549,0.00003850156,0.0001329089,0.0003057299,0.00008639247],"domain_scores_gemma":[0.9970858,0.001605222,0.0006380085,0.0001754374,0.0001888187,0.0003066174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.004468301,0.001454083,0.1779214,0.00174497,0.000690405,0.00120888,0.01265328,0.02978093,0.3120103,0.1718669,0.002980699,0.2832198],"study_design_scores_gemma":[0.0001926544,0.002241956,0.5005649,0.0003425319,0.0002241316,0.001059976,0.003419114,0.07612526,0.02486623,0.3841904,0.006572807,0.0002000818],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9651394,0.0005491685,0.015033,0.0008592575,0.00006090123,0.00002460501,0.00003476228,0.00002512415,0.01827374],"genre_scores_gemma":[0.9980155,0.00007507731,0.001615216,0.0000535701,0.00001120593,0.000005384852,0.000005061032,0.000003351467,0.0002155974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00266338,"threshold_uncertainty_score":0.009615898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03430853275172158,"score_gpt":0.2639085768321799,"score_spread":0.2296000440804583,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}