{"id":"W2460872248","doi":"10.1097/igc.0000000000000747","title":"Cost-Efficiency of Robotic Surgery","year":2016,"lang":"en","type":"letter","venue":"International Journal of Gynecological Cancer","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Robotic surgery; General surgery; Surgery","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":[0.001754218,0.0001659536,0.000302073,0.0004778354,0.0004219221,0.001298808,0.0006364763,0.003005376,0.01256385],"category_scores_gemma":[0.01555942,0.0001445967,0.0006787899,0.0004649278,0.0005819005,0.001057908,0.0006204643,0.002479068,0.001678352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00245645,"about_ca_system_score_gemma":0.001035848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002176782,"about_ca_topic_score_gemma":0.005755696,"domain_scores_codex":[0.9986988,0.0005928407,0.0001073584,0.00007467719,0.0003692619,0.0001568919],"domain_scores_gemma":[0.9931478,0.005091175,0.0003999287,0.0002619602,0.000645234,0.0004538546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002864019,0.0004254916,0.04817894,0.000533011,0.0002702091,0.005885963,0.0003049907,0.01015343,0.002457053,0.04874445,0.3406114,0.5395711],"study_design_scores_gemma":[0.0004910345,0.0023121,0.1286824,0.001917769,0.0004553226,0.04413423,0.002439121,0.02582144,0.003217038,0.0853901,0.7049349,0.0002046034],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.09448258,0.01553406,0.002575722,0.7759134,0.005681599,0.0000383055,0.0004779472,0.00005399685,0.1052424],"genre_scores_gemma":[0.8652507,0.009957235,0.003147817,0.08937187,0.01609217,0.00005798358,0.0002792709,0.00006866087,0.01577419],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01256385,"threshold_uncertainty_score":0.04203027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1229217944963899,"score_gpt":0.3845520139062246,"score_spread":0.2616302194098346,"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."}}