{"id":"W1977746689","doi":"10.1016/j.surg.2013.10.003","title":"An independent jury-based consensus conference model for the development of recommendations in medico-surgical practice","year":2013,"lang":"en","type":"article","venue":"Surgery","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Jury; Standardization; Medicine; Process (computing); Consensus conference; Quality (philosophy); Health care; Evidence-based medicine; Public relations; Engineering ethics; Computer science; Alternative medicine; Political science; Law","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":[0.02124378,0.0001319963,0.0006267579,0.0002664692,0.0001533345,0.0000519554,0.0002053817,0.0001200246,0.0004676114],"category_scores_gemma":[0.00490122,0.0001338765,0.00008773477,0.0001433863,0.00007694507,0.0003108415,0.00002277124,0.0001515516,0.00018965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002418546,"about_ca_system_score_gemma":0.001093014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004287917,"about_ca_topic_score_gemma":0.000384286,"domain_scores_codex":[0.9954281,0.0003068003,0.003505869,0.0003481015,0.0001033954,0.0003077715],"domain_scores_gemma":[0.9861762,0.01140536,0.001669514,0.0004118008,0.0002065845,0.0001305676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006541379,0.005030904,0.1557957,0.002325857,0.000845361,0.000008116413,0.04605423,0.04883825,0.00005948669,0.3813288,0.2932873,0.06577179],"study_design_scores_gemma":[0.001122885,0.00003067752,0.01462458,0.0001228966,0.00001003761,0.000004352829,0.003943844,0.9058679,0.0000335476,0.007935733,0.06590568,0.0003978075],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5590545,0.0008632533,0.1723881,0.2596233,0.001411998,0.00330171,0.0004749484,0.00007431658,0.0028079],"genre_scores_gemma":[0.9695625,0.00003440976,0.0259415,0.003486068,0.00006802454,0.0006774337,0.00007660459,0.00001964739,0.0001337532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8570297,"threshold_uncertainty_score":0.7362713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4943933090305477,"score_gpt":0.4656300684824641,"score_spread":0.0287632405480836,"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."}}