{"id":"W7132978179","doi":"","title":"Exploring a New Methodological Approach for Capturing the &apos;Slowing Down&apos; Moments of Operative Practice","year":2014,"lang":"en","type":"dissertation","venue":"TSpace","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Session (web analytics); Phenomenon; Field (mathematics); Expert system; Laparoscopic cholecystectomy","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":[0.04813227,0.001510068,0.0006669991,0.005180671,0.003516598,0.004347826,0.002418054,0.001596154,0.004083946],"category_scores_gemma":[0.1256092,0.001002075,0.0009560902,0.003436778,0.006328106,0.003677572,0.005097845,0.002518442,0.001213543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003031724,"about_ca_system_score_gemma":0.004928921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002718571,"about_ca_topic_score_gemma":0.009280398,"domain_scores_codex":[0.9475095,0.0374241,0.00444628,0.00473937,0.00511575,0.000765013],"domain_scores_gemma":[0.8732757,0.073236,0.01747921,0.01587834,0.01896377,0.001166899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.001288494,0.0008574678,0.03778429,0.006757427,0.000276214,0.0008155869,0.5264217,0.001460895,0.1265226,0.04046385,0.005036951,0.2523145],"study_design_scores_gemma":[0.00121243,0.005553487,0.1766951,0.005655429,0.000723043,0.002921723,0.3897919,0.01808343,0.08781929,0.08463295,0.2254672,0.001443995],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2402028,0.0007983853,0.7233936,0.002231742,0.0007057993,0.01388014,0.000824115,0.0003484562,0.01761488],"genre_scores_gemma":[0.2583872,0.000612998,0.6945851,0.0009963899,0.0001942532,0.04043089,0.0004540416,0.0002207561,0.004118346],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04813227,"threshold_uncertainty_score":0.2545508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.570148649104938,"score_gpt":0.53448012231882,"score_spread":0.03566852678611798,"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."}}