{"id":"W2123512569","doi":"10.1177/0272989x14559729","title":"Psst, Have I Got a Model for You . . .","year":2014,"lang":"en","type":"editorial","venue":"Medical Decision Making","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science","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":[0.009867805,0.002691052,0.003387885,0.002705397,0.002339021,0.008113906,0.003416282,0.0167848,0.01764145],"category_scores_gemma":[0.06776559,0.00100688,0.003521709,0.001560394,0.002869391,0.005366098,0.001553602,0.02816394,0.01131177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003454628,"about_ca_system_score_gemma":0.005442823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003321741,"about_ca_topic_score_gemma":0.007601271,"domain_scores_codex":[0.9943506,0.001587884,0.0008093257,0.0004880537,0.002564233,0.0001998783],"domain_scores_gemma":[0.9600274,0.02289323,0.001242124,0.001001464,0.01186517,0.002970611],"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":[0.00001418477,0.000004300759,0.000009345416,0.0001206166,0.00001533367,0.00002688154,0.000006645677,0.00003996558,0.000009723147,0.0004957746,0.9959714,0.003285737],"study_design_scores_gemma":[0.00006280281,0.00002173812,0.00009511271,0.0006831587,0.000075395,0.0001642708,0.00004354927,0.0003968531,0.00007048212,0.004972017,0.9933908,0.00002380434],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00002138364,0.006474204,0.0004161878,0.08687348,0.9049816,0.0000134601,0.00008795664,0.00006197269,0.001069825],"genre_scores_gemma":[0.0008466859,0.01274755,0.0005361648,0.05202532,0.9197534,0.00004091123,0.0001134237,0.00008357008,0.013853],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.01764145,"threshold_uncertainty_score":0.05901653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1125458494119116,"score_gpt":0.4951989076680848,"score_spread":0.3826530582561732,"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."}}