{"id":"W4237103640","doi":"10.1007/s10912-019-09576-8","title":"Disequilibrium","year":2019,"lang":"en","type":"article","venue":"Journal of Medical Humanities","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Disequilibrium; Psychology; Philosophy; Medicine; Ophthalmology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001283764,0.0005510238,0.0009543111,0.001787904,0.001771174,0.004202968,0.001533196,0.001820621,0.1130193],"category_scores_gemma":[0.008648694,0.000455136,0.0006388561,0.001115657,0.001782413,0.004108205,0.002773979,0.002078162,0.01639082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001105102,"about_ca_system_score_gemma":0.001219003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006756819,"about_ca_topic_score_gemma":0.0003865949,"domain_scores_codex":[0.9989151,0.000253745,0.0000551509,0.0003516905,0.0002596353,0.0001647575],"domain_scores_gemma":[0.9981468,0.0005431408,0.0001809932,0.0004908605,0.0004197546,0.0002184519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004343528,0.00003425266,0.0003884395,0.00004782627,0.0000200236,0.0001502019,0.00009751675,0.00106777,0.0007499349,0.9658253,0.01605118,0.0155241],"study_design_scores_gemma":[0.00006145048,0.00004629784,0.0006410387,0.00003223205,0.00001848105,0.0005725994,0.0001590899,0.008052401,0.001158221,0.9025508,0.08668113,0.00002619478],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04555289,0.002147009,0.156075,0.007413337,0.003485309,0.0001976202,0.001310686,0.001155378,0.7826626],"genre_scores_gemma":[0.6150494,0.001320155,0.02116026,0.002734911,0.001579692,0.00037247,0.001288594,0.0007871868,0.3557074],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1130193,"threshold_uncertainty_score":0.3780873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03721797986512676,"score_gpt":0.2206770497151214,"score_spread":0.1834590698499947,"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."}}