{"id":"W2134213688","doi":"10.5489/cuaj.2166","title":"The trouble with technical competence: Defining it, measuring it and achieving it!","year":2014,"lang":"en","type":"article","venue":"Canadian Urological Association Journal","topic":"Innovations in Medical Education","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Information technology; Competence (human resources); Psychology; Computer science; Social psychology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02382012,0.001392693,0.001658193,0.003213918,0.009434213,0.01639021,0.002229845,0.01040263,0.009053955],"category_scores_gemma":[0.05376416,0.0007028399,0.0009168762,0.003094815,0.03785214,0.02924318,0.008683166,0.02588028,0.003182567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01703786,"about_ca_system_score_gemma":0.08079965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3144954,"about_ca_topic_score_gemma":0.456397,"domain_scores_codex":[0.9830217,0.004453447,0.0006996528,0.0008781828,0.008053891,0.002893105],"domain_scores_gemma":[0.9481131,0.01275006,0.003316518,0.001730793,0.01976391,0.01432552],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001103222,0.0002398177,0.01391172,0.001030062,0.00006567396,0.0003086941,0.01949177,0.0001556475,0.0006248183,0.08371593,0.629522,0.2508235],"study_design_scores_gemma":[0.00006155447,0.0001944238,0.03023407,0.005299212,0.00008951589,0.0009808799,0.06861674,0.0004572973,0.0006134553,0.1341644,0.758842,0.0004464906],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.001905577,0.03669152,0.001557089,0.9487838,0.004177681,0.00001058036,0.00004723042,0.00006051097,0.00676602],"genre_scores_gemma":[0.2298254,0.146099,0.02351056,0.5430287,0.01243115,0.0002304812,0.0003186602,0.0005274982,0.04402852],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9761799,"threshold_uncertainty_score":0.6253296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01523414017087945,"score_gpt":0.2490894747904712,"score_spread":0.2338553346195918,"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."}}