{"id":"W4401921748","doi":"10.1192/j.eurpsy.2024.345","title":"A bibliometric analysis of research in the field of forensic psychiatry","year":2024,"lang":"en","type":"article","venue":"European Psychiatry","topic":"Legal, Health, Environmental and COVID-19 Challenges","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Forensic science; Field (mathematics); Forensic psychiatry; Psychology; Psychiatry; Data science; Medicine; Computer science; Mathematics","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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01630723,0.001216501,0.003093735,0.2590146,0.001829538,0.007557953,0.001365648,0.001060596,0.00628434],"category_scores_gemma":[0.1173859,0.0004104536,0.003633569,0.284352,0.00147051,0.004277902,0.003596901,0.0006567167,0.0009435797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004618244,"about_ca_system_score_gemma":0.006971222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006520957,"about_ca_topic_score_gemma":0.00422778,"domain_scores_codex":[0.9676606,0.006420434,0.007247863,0.002413737,0.01524622,0.001011204],"domain_scores_gemma":[0.8588933,0.09483433,0.02007395,0.003430189,0.02137941,0.001388745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007165259,0.000350937,0.5672908,0.05488189,0.00643095,0.001474385,0.008354411,0.006965057,0.002731516,0.01236121,0.02668417,0.311758],"study_design_scores_gemma":[0.0001862584,0.0004847432,0.8520192,0.008460589,0.005156402,0.002316466,0.01642581,0.01764382,0.002266896,0.0134055,0.08133456,0.0002998697],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7543888,0.05209455,0.01286717,0.004031713,0.0005930592,0.00470641,0.1255676,0.001478208,0.04427239],"genre_scores_gemma":[0.9208595,0.02076006,0.01913258,0.0001605972,0.0004801417,0.003586675,0.03279701,0.0001782585,0.002045199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7409854,"threshold_uncertainty_score":0.08624184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05429117310395742,"score_gpt":0.4043091941345136,"score_spread":0.3500180210305562,"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."}}