{"id":"W4312758238","doi":"10.2139/ssrn.4262958","title":"Preparing for a Midlife Crisis: Section 92A at 40","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Hospital Admissions and Outcomes","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; University of Calgary","funders":"","keywords":"Section (typography); Psychology; Political science; History; Business; Advertising","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009009804,0.0001075039,0.0001947946,0.0001111002,0.0007251109,0.00001618049,0.00009546416,0.00003505921,0.0002067072],"category_scores_gemma":[0.00008428461,0.00008899251,0.0002170994,0.0001403143,0.000008401946,0.00006409821,0.00008515492,0.001103052,0.000007398366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00225696,"about_ca_system_score_gemma":0.001198097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002677051,"about_ca_topic_score_gemma":0.0001218758,"domain_scores_codex":[0.9980762,0.00003704007,0.0002348432,0.0001749698,0.0002729882,0.00120394],"domain_scores_gemma":[0.9995387,0.00002898548,0.0001042731,0.0001349671,0.00005104962,0.0001420326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.02365757,0.004582779,0.2990253,0.0006311025,0.007221712,0.0002248469,0.00987312,0.002067768,0.03848788,0.1135839,0.325623,0.1750211],"study_design_scores_gemma":[0.0113976,0.01257897,0.01139401,0.00008201827,0.0008068161,0.01641255,0.02703214,0.001226196,0.001805228,0.07729527,0.8391817,0.0007874515],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988209,0.002824256,0.001780158,0.004771767,0.0006292578,0.0003769883,0.000003923833,0.00006092329,0.001343714],"genre_scores_gemma":[0.9825171,0.0003861811,0.0001450505,0.0005791149,0.0005372593,0.0000549562,0.000008283297,0.00002819385,0.01574388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5135587,"threshold_uncertainty_score":0.5901873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009487375692106208,"score_gpt":0.2753980241535228,"score_spread":0.2659106484614165,"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."}}