{"id":"W1955477601","doi":"","title":"Challenging learning situations in medical education: innovative and structured tools for assessment, educational diagnosis, and intervention. Part 1: history or data gathering.","year":2012,"lang":"en","type":"article","venue":"PubMed","topic":"Innovations in Medical Education","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Intervention (counseling); Medical education; Computer science; Data science; Medicine; Nursing","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":[0.006630379,0.001326666,0.001014304,0.004677438,0.0007897471,0.001305933,0.001445906,0.001058362,0.003633536],"category_scores_gemma":[0.02309158,0.000544116,0.000943466,0.002028489,0.0007094672,0.002813193,0.003526477,0.001415221,0.001281605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008411293,"about_ca_system_score_gemma":0.00275832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001019009,"about_ca_topic_score_gemma":0.003683405,"domain_scores_codex":[0.9927349,0.004908,0.000833112,0.0002332045,0.001070614,0.0002200622],"domain_scores_gemma":[0.9862797,0.007886208,0.002140413,0.0006694815,0.002036607,0.0009875478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005728063,0.001993749,0.09010822,0.00244818,0.0001303075,0.0004161201,0.005254355,0.001743901,0.003272268,0.001933886,0.02948123,0.862645],"study_design_scores_gemma":[0.001163539,0.005351128,0.819566,0.00601447,0.0004148558,0.007108601,0.01856806,0.01346666,0.009661618,0.01680767,0.1011391,0.0007383088],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6105927,0.01885613,0.1880683,0.01271081,0.002021074,0.07152537,0.02045896,0.003814163,0.07195243],"genre_scores_gemma":[0.4140967,0.01125124,0.5152773,0.001197208,0.0004884282,0.04460943,0.005755801,0.0001578174,0.007166042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006630379,"threshold_uncertainty_score":0.03506517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1382812703186344,"score_gpt":0.3969023677781285,"score_spread":0.2586210974594941,"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."}}