{"id":"W4414208611","doi":"10.1192/j.eurpsy.2025.921","title":"PsychED – A National Teaching Programme to Boost Medical Student Engagement in Psychiatry","year":2025,"lang":"en","type":"article","venue":"European Psychiatry","topic":"Innovations in Medical Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Child, Adolescent and Family Mental Health","funders":"","keywords":"Session (web analytics); Likert scale; Mental health; Core competency; Presentation (obstetrics); Inclusion (mineral)","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":[0.003008378,0.000402225,0.0002636837,0.0005050751,0.00132726,0.001632041,0.001094404,0.000712335,0.02694418],"category_scores_gemma":[0.00354212,0.0002775929,0.0004990404,0.0002734254,0.0008682759,0.0008290156,0.007286031,0.00197688,0.003931973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001549792,"about_ca_system_score_gemma":0.007016063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009622574,"about_ca_topic_score_gemma":0.004221864,"domain_scores_codex":[0.9984066,0.00057324,0.00004313802,0.0001212869,0.0002880497,0.000567777],"domain_scores_gemma":[0.990294,0.0004874569,0.0003053084,0.0001702274,0.000448101,0.008294875],"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":[0.002076438,0.008462354,0.008485377,0.001726044,0.00003349122,0.00116285,0.008268788,0.0007817692,0.007962927,0.001692653,0.1872645,0.7720829],"study_design_scores_gemma":[0.002459812,0.02084084,0.1424817,0.001821511,0.00006831972,0.004290664,0.01627992,0.002294315,0.00814166,0.0027768,0.7983418,0.0002026566],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8107779,0.002588786,0.01386302,0.03957085,0.007572365,0.005600684,0.002427348,0.003930635,0.1136685],"genre_scores_gemma":[0.8243077,0.002216442,0.05943306,0.009735897,0.001827709,0.004755622,0.001827046,0.0003694117,0.09552709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02694418,"threshold_uncertainty_score":0.0901373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02049699399204255,"score_gpt":0.3996550059822556,"score_spread":0.379158011990213,"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."}}