{"id":"W2616771772","doi":"10.7759/cureus.1253","title":"A Practice Platform for Systematic Development of Microsurgical Instrument Technique","year":2017,"lang":"en","type":"article","venue":"Cureus","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Memorial University of Newfoundland; Occupational Cancer Research Centre; Hospital for Sick Children","funders":"","keywords":"Medicine; Microsurgery; Medical physics; Magnification; Set (abstract data type); Fidelity; Medical education; Surgery; Computer science; Artificial intelligence; Programming language","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":[0.003516852,0.001398919,0.0004738128,0.001139666,0.0006518427,0.00099314,0.002225063,0.001397339,0.01645482],"category_scores_gemma":[0.005680868,0.0004363743,0.0008119475,0.0004739259,0.0007897968,0.001100625,0.004605476,0.001703451,0.005891094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007661373,"about_ca_system_score_gemma":0.004122745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003697508,"about_ca_topic_score_gemma":0.00105987,"domain_scores_codex":[0.9978188,0.0009042364,0.0001738623,0.0003163075,0.00049685,0.0002898883],"domain_scores_gemma":[0.996471,0.0009623157,0.0003379517,0.0006115533,0.0004373282,0.001179814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003926991,0.008509399,0.00707862,0.00125046,0.00002943707,0.001041799,0.005349479,0.01194215,0.05425525,0.01618884,0.04000158,0.8539603],"study_design_scores_gemma":[0.0009049761,0.01387708,0.04184742,0.003268908,0.000131898,0.009224081,0.004243446,0.06221134,0.08184309,0.03806457,0.7439678,0.0004153446],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1251956,0.0007873774,0.8155679,0.00229676,0.0007248854,0.007935431,0.0006056168,0.007008736,0.0398778],"genre_scores_gemma":[0.0840433,0.0005009302,0.8986704,0.0002715341,0.00009786207,0.003718019,0.0004554999,0.0002218679,0.01202062],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01645482,"threshold_uncertainty_score":0.05504686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08392723586142468,"score_gpt":0.3779442615544156,"score_spread":0.2940170256929909,"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."}}