{"id":"W4244401570","doi":"10.1177/0272989x16682012","title":"38th Annual Meeting of the Society for Medical Decision Making","year":2016,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medical decision making; Management science; Computer science; Operations research; Medicine; Family medicine; Economics; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.04371069,0.0002415833,0.001059223,0.0001800896,0.0003976945,0.00004751256,0.001212617,0.0005335139,0.002403894],"category_scores_gemma":[0.1165791,0.000169651,0.0007930117,0.0003288411,0.000274098,0.0003128008,0.0004867056,0.0003063203,0.0002902795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004069535,"about_ca_system_score_gemma":0.0004638454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002550189,"about_ca_topic_score_gemma":0.00008364408,"domain_scores_codex":[0.9919564,0.000262573,0.005301119,0.0007551666,0.001103751,0.0006209796],"domain_scores_gemma":[0.9729879,0.02322033,0.002435451,0.0008213681,0.0002001865,0.000334785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002073918,0.0002371963,0.04194456,0.0004379363,0.0002204246,0.000005631562,0.002450515,0.0000771566,0.00001200468,0.09567907,0.2516113,0.6071168],"study_design_scores_gemma":[0.0083731,0.0003389382,0.04756556,0.02502849,0.00005970578,0.00008723384,0.002396422,0.07828907,0.00003772607,0.4589589,0.3774599,0.001404988],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1564341,0.001590116,0.7998128,0.03692074,0.002722298,0.0008080098,0.000272912,0.00006432203,0.001374684],"genre_scores_gemma":[0.9343857,0.0001576564,0.04906705,0.0150915,0.0010193,0.00007340794,0.000002450279,0.00005683282,0.0001461414],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7779515,"threshold_uncertainty_score":0.998508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1977833514207367,"score_gpt":0.4563976460414733,"score_spread":0.2586142946207367,"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."}}