{"id":"W1981388916","doi":"10.5489/cuaj.2062","title":"The case for adaptability in urological training and practice.","year":2014,"lang":"en","type":"article","venue":"Canadian Urological Association Journal","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Adaptability; Training (meteorology); Computer science; Medical education; Psychology; Medicine; Biology; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.009379076,0.0003877205,0.0003563105,0.001250351,0.008987891,0.005950635,0.001791368,0.006892735,0.007688194],"category_scores_gemma":[0.0258835,0.000374229,0.0005227602,0.0009357125,0.03808505,0.007983552,0.0151032,0.01122601,0.001633199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005580092,"about_ca_system_score_gemma":0.01296681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01273997,"about_ca_topic_score_gemma":0.01814448,"domain_scores_codex":[0.9881733,0.005363415,0.0003008966,0.001019344,0.002357169,0.002785919],"domain_scores_gemma":[0.9813923,0.003608424,0.001472942,0.001541896,0.00170263,0.01028171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001927738,0.0001985074,0.03640822,0.0003095368,0.00007179117,0.0157523,0.1310406,0.0005962187,0.001211162,0.4789928,0.2021736,0.1330525],"study_design_scores_gemma":[0.00005556669,0.000119507,0.02047474,0.001086241,0.00001850338,0.0215499,0.07158573,0.0005505533,0.0002825319,0.1834874,0.7006694,0.0001200562],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0560611,0.007805189,0.006593,0.691801,0.005713617,0.0000762668,0.00003852799,0.0001594307,0.2317519],"genre_scores_gemma":[0.8881079,0.003187706,0.00541053,0.07582115,0.002934598,0.0001855401,0.00003681622,0.0001406854,0.02417507],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01273997,"threshold_uncertainty_score":0.04960185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05452929385291116,"score_gpt":0.3033049849780835,"score_spread":0.2487756911251723,"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."}}