{"id":"W4406986850","doi":"10.2196/57331","title":"Collaborative Development of Feedback Concept Maps for Virtual Patient–Based Clinical Reasoning Education: Mixed Methods Study","year":2025,"lang":"en","type":"article","venue":"JMIR Medical Education","topic":"Clinical Reasoning and Diagnostic Skills","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Erasmus+; Deutscher Akademischer Austauschdienst; European Commission","keywords":"Concept map; Scope (computer science); Focus group; Presentation (obstetrics); Content analysis; Process (computing); Qualitative research; Field (mathematics); Psychology; Medical education; Computer science; Mathematics education; Medicine; Mathematics; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07302551,0.001180311,0.001706447,0.003830147,0.003707066,0.003917184,0.002927396,0.001753089,0.003224611],"category_scores_gemma":[0.09073251,0.001013133,0.001537272,0.00228305,0.002253722,0.003254704,0.005705488,0.001500085,0.0004511786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003732789,"about_ca_system_score_gemma":0.008006527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001306422,"about_ca_topic_score_gemma":0.002038972,"domain_scores_codex":[0.942642,0.04498592,0.00325555,0.002897084,0.004327252,0.001892212],"domain_scores_gemma":[0.8828281,0.09336766,0.005895092,0.004602595,0.01080793,0.002498523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.002171867,0.01541983,0.02519085,0.007505179,0.0004286935,0.001208749,0.6740335,0.000785606,0.002649327,0.003463882,0.001368174,0.2657744],"study_design_scores_gemma":[0.004162217,0.0335913,0.05381046,0.009035011,0.00119419,0.001665837,0.8273203,0.009620027,0.01290547,0.007269965,0.03887296,0.0005523445],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9595679,0.0009755636,0.02179177,0.0003166345,0.00007818398,0.01406912,0.0001698186,0.00005365027,0.002977313],"genre_scores_gemma":[0.8899806,0.001293113,0.07415196,0.0004844975,0.00007592185,0.03198604,0.0002146781,0.00005429301,0.001758781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07302551,"threshold_uncertainty_score":0.3862004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02327596494602671,"score_gpt":0.4851960831809061,"score_spread":0.4619201182348794,"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."}}