{"id":"W3163352337","doi":"10.5114/wiitm.2021.106081","title":"Prediction model of laparoendoscopic single-site surgery in gynecology using machine learning algorithm.","year":2021,"lang":"en","type":"article","venue":"Videosurgery and Other Miniinvasive Techniques","topic":"Minimally Invasive Surgical Techniques","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Logistic regression; Decision tree; Algorithm; Surgery; Machine learning; Random forest; Computer science; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002241369,0.0008623378,0.0009098025,0.00154816,0.0003673068,0.0009596458,0.0008074124,0.0008531017,0.001613153],"category_scores_gemma":[0.003972536,0.0002826678,0.0009752361,0.0006692564,0.0002161991,0.0005456611,0.0003925124,0.0007497414,0.0003253725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008235459,"about_ca_system_score_gemma":0.001110555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01295443,"about_ca_topic_score_gemma":0.004712305,"domain_scores_codex":[0.9993833,0.0001991605,0.0000567002,0.000138866,0.0001155889,0.0001064059],"domain_scores_gemma":[0.9982008,0.001156389,0.0002068564,0.00003687226,0.0003038563,0.00009526876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004976083,0.000452368,0.164931,0.0001722638,0.0002754843,0.0003910488,0.00007805715,0.7328618,0.0007928059,0.0008196305,0.003692835,0.09503514],"study_design_scores_gemma":[0.00001346921,0.00008053904,0.005870219,0.00001697081,0.00003609986,0.00005168888,0.00001594376,0.9932167,0.0001286775,0.0004436537,0.0001183338,0.000007636655],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7185997,0.002124547,0.2733624,0.001348748,0.0002078302,0.0003065902,0.001294106,0.0008043837,0.001951582],"genre_scores_gemma":[0.9755839,0.0003806455,0.02171265,0.00008216774,0.00005645459,0.0002015945,0.001094303,0.00001532336,0.0008728936],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01295443,"threshold_uncertainty_score":0.02575803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07627105378331171,"score_gpt":0.2830276145245992,"score_spread":0.2067565607412875,"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."}}