{"id":"W2080485090","doi":"10.1111/j.1365-2929.2004.01856.x","title":"Using the divergent case method","year":2004,"lang":"en","type":"article","venue":"Medical Education","topic":"Transactional Analysis in Psychotherapy","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Citation; Library science; Computer science; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004599781,0.00006783313,0.00007357003,0.00005087171,0.000140435,0.00001021609,0.0001389112,0.00008056478,0.01177096],"category_scores_gemma":[0.00005553507,0.00004468101,0.00006903318,0.0002330645,0.00006572127,0.00002979231,0.000003902644,0.0001774275,0.0001423107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008185986,"about_ca_system_score_gemma":0.0003148087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0020381,"about_ca_topic_score_gemma":0.0001362885,"domain_scores_codex":[0.9990747,0.0001530595,0.0001669389,0.0001770856,0.0003039504,0.0001242737],"domain_scores_gemma":[0.9995132,0.00007817176,0.0000463809,0.0002386918,0.00004298407,0.00008057561],"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":[0.000114603,0.003887971,0.00177245,0.00001573865,0.00068406,0.0003071677,0.02209644,0.001173233,0.0002879103,0.1526457,0.04324187,0.7737728],"study_design_scores_gemma":[0.004061543,0.0001750827,0.01479008,0.0001306348,0.000598291,0.02305712,0.01460076,0.001957724,0.0005158132,0.07767484,0.8616316,0.0008065354],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1437705,0.0008002618,0.8003349,0.04320891,0.00578595,0.0001793113,0.000002048165,0.00004736028,0.005870723],"genre_scores_gemma":[0.9620103,0.00002940966,0.01603918,0.01961203,0.0009553803,0.00007046904,0.000006780203,0.00001866655,0.001257817],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8183897,"threshold_uncertainty_score":0.9891324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05000827689489199,"score_gpt":0.4776147620715347,"score_spread":0.4276064851766427,"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."}}