{"id":"W2800836459","doi":"10.21037/jtd.2018.04.107","title":"Who really benefits from surgical tray reduction?","year":2018,"lang":"en","type":"letter","venue":"Journal of Thoracic Disease","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Medicine; Reduction (mathematics); Tray; Surgery; Mechanical engineering; Engineering","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":[0.001820938,0.0002829519,0.0005339121,0.0003953552,0.002694816,0.001872533,0.0007687715,0.01441337,0.007169129],"category_scores_gemma":[0.01610951,0.0001826759,0.0003747143,0.0003606215,0.001745199,0.002962239,0.001258695,0.01247903,0.00308541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002128839,"about_ca_system_score_gemma":0.002128366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001705474,"about_ca_topic_score_gemma":0.005056883,"domain_scores_codex":[0.9978124,0.0007815231,0.0002160609,0.0001945508,0.0006072799,0.0003882136],"domain_scores_gemma":[0.9945982,0.002789301,0.0004011096,0.0001132215,0.0008648633,0.001233414],"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":[0.000114633,0.000272807,0.01175433,0.0002400755,0.00003564926,0.0161643,0.001338925,0.0002225104,0.0009215389,0.01101446,0.8543013,0.1036195],"study_design_scores_gemma":[0.0001669299,0.0005142369,0.01014929,0.002353532,0.00005951176,0.06408615,0.01580289,0.001299348,0.001035493,0.08074597,0.8236501,0.0001367366],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002120523,0.001686108,0.0001848601,0.9905715,0.001875548,0.000005829377,0.00001119507,0.00001067507,0.003533871],"genre_scores_gemma":[0.07812812,0.006293396,0.001107128,0.8886039,0.01927657,0.00003569281,0.00003900042,0.00003329221,0.006482976],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01441337,"threshold_uncertainty_score":0.02398312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03918105248236096,"score_gpt":0.3525050671818076,"score_spread":0.3133240146994466,"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."}}