{"id":"W1896715019","doi":"10.1046/j.1525-1497.2000.06099.x","title":"Clinical work sampling","year":2000,"lang":"en","type":"article","venue":"Journal of General Internal Medicine","topic":"Innovations in Medical Education","field":"Medicine","cited_by":67,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; University of Ottawa","funders":"","keywords":"Medicine; Multidisciplinary approach; Rating scale; Reliability (semiconductor); Multidisciplinary team; Rating system; Data collection; Sampling (signal processing); Medical education; Statistics; Nursing; Computer science","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":[0.0155168,0.001670623,0.001800354,0.01149853,0.004184166,0.002718056,0.00453275,0.001772621,0.09993708],"category_scores_gemma":[0.06812128,0.001621687,0.001109811,0.005383028,0.001501189,0.001102522,0.005530511,0.001676163,0.06217651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003391375,"about_ca_system_score_gemma":0.01598552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008555989,"about_ca_topic_score_gemma":0.0135785,"domain_scores_codex":[0.9687682,0.01292423,0.005505138,0.003520605,0.006678748,0.002603143],"domain_scores_gemma":[0.9290108,0.01279604,0.005012657,0.009257048,0.03883579,0.005087739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00812728,0.01434944,0.1829202,0.007806045,0.0002268907,0.002945915,0.03636399,0.001316251,0.007722756,0.009778852,0.2373597,0.4910827],"study_design_scores_gemma":[0.005854107,0.007915778,0.2179637,0.004522681,0.0003757208,0.0022815,0.02229684,0.005972046,0.008011604,0.006322684,0.718246,0.0002374095],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"empirical","genre_scores_codex":[0.1539691,0.001700502,0.03031694,0.00215214,0.001481915,0.6572074,0.04382063,0.0006884961,0.1086629],"genre_scores_gemma":[0.1481191,0.002073964,0.04915749,0.006410202,0.001454832,0.688361,0.02458818,0.0004182132,0.07941696],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09993708,"threshold_uncertainty_score":0.3343229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07856431272905676,"score_gpt":0.4607017545574014,"score_spread":0.3821374418283446,"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."}}