{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005205713,0.00007570998,0.0002724812,0.00002209766,0.0001539189,0.00002218208,0.000089234,0.00006951105,0.00004411877],"category_scores_gemma":[0.001054394,0.00005487723,0.0000656239,0.00001920187,0.00003656848,0.0001007326,0.00003595024,0.00005965523,0.000007421706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006108663,"about_ca_system_score_gemma":0.00008993239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004181902,"about_ca_topic_score_gemma":0.000002364485,"domain_scores_codex":[0.999265,0.00000896356,0.0003403129,0.0001102451,0.0001591265,0.000116425],"domain_scores_gemma":[0.9990312,0.0002306658,0.0002658158,0.000272994,0.0001248879,0.00007446083],"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":[0.01764971,0.01258791,0.03478926,0.2590847,0.008284465,0.0007480431,0.03844098,0.00006315447,0.07704185,0.2239283,0.001224872,0.3261568],"study_design_scores_gemma":[0.05181863,0.002203384,0.0343614,0.0523128,0.001577279,0.001135426,0.006376622,0.004106823,0.2966528,0.00209828,0.5457142,0.001642328],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7893605,0.0005573352,0.05873543,0.001809758,0.0006198088,0.01153326,0.0000155268,0.0002397992,0.1371286],"genre_scores_gemma":[0.9610383,0.000002835418,0.03849465,0.00007746429,0.00002961202,0.0001844378,0.000006360515,0.000008569748,0.0001577895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5444893,"threshold_uncertainty_score":0.2237829,"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."}}