{"id":"W2011321597","doi":"10.1207/s15328015tlm1402_07","title":"Adolescent Standardized Patients: Method of Selection and Assessment of Benefits and Risks","year":2002,"lang":"en","type":"article","venue":"Teaching and Learning in Medicine","topic":"Adolescent and Pediatric Healthcare","field":"Health Professions","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Selection (genetic algorithm); Medicine; Psychology; Standardized test; Risk assessment; Medical education; Family medicine; Computer science; Mathematics education","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":[0.01589579,0.0006690717,0.000470246,0.001582192,0.0004938923,0.0005926049,0.0005601819,0.0004135798,0.006769723],"category_scores_gemma":[0.03495366,0.0003409173,0.0004155001,0.0007296928,0.0005685729,0.0006040907,0.001560885,0.0005640787,0.001598101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004492223,"about_ca_system_score_gemma":0.001788062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004071718,"about_ca_topic_score_gemma":0.0008267085,"domain_scores_codex":[0.9859449,0.01009282,0.001445807,0.0003977992,0.001915127,0.0002035249],"domain_scores_gemma":[0.9824464,0.008061321,0.00273242,0.002331708,0.003633152,0.0007949361],"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":[0.006408102,0.003441671,0.3147682,0.001065924,0.0001123241,0.0005676721,0.003818338,0.001314564,0.01191274,0.002024287,0.008533382,0.6460327],"study_design_scores_gemma":[0.005020758,0.03610566,0.791065,0.001530477,0.0004774382,0.008486725,0.01039512,0.02851709,0.04524203,0.006283425,0.06638674,0.0004895062],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8309485,0.0007618222,0.1164604,0.00113657,0.0003038788,0.0398229,0.0008561738,0.0004693108,0.009240476],"genre_scores_gemma":[0.6895331,0.00100735,0.27393,0.0003744994,0.0002245956,0.03080807,0.0006395009,0.00009023307,0.003392773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01589579,"threshold_uncertainty_score":0.08406597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1184961020524447,"score_gpt":0.4818551880857637,"score_spread":0.363359086033319,"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."}}