{"id":"W4409633503","doi":"10.5220/0013496100003932","title":"Forensic Psychiatry and Big Data: Towards a Cyberphysical System in Service of Clinic, Research and Cybersecurity","year":2025,"lang":"en","type":"article","venue":"","topic":"Digital and Cyber Forensics","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières; Immersion (Canada); Université du Québec en Outaouais; Institut national de psychiatrie légale Philippe-Pinel","funders":"","keywords":"Big data; Computer security; Computer science; Data science; Internet privacy; Data mining","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":[],"consensus_categories":[],"category_scores_codex":[0.0007381762,0.0001073431,0.0002562465,0.0001649404,0.00005299316,0.0001453147,0.0007685259,0.0000702166,5.732821e-7],"category_scores_gemma":[0.00003004334,0.00008794344,0.00001866537,0.00109368,0.0001902056,0.0004762917,0.002154364,0.0002040425,0.000005264304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001833651,"about_ca_system_score_gemma":0.0002303119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001066491,"about_ca_topic_score_gemma":0.002427954,"domain_scores_codex":[0.9985594,0.00006282536,0.0003069034,0.000527838,0.0002867776,0.0002562536],"domain_scores_gemma":[0.9987022,0.0001454466,0.00003930171,0.0008730806,0.0001619089,0.00007804704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002542816,0.0002056423,0.008836586,0.0004241983,0.00002611534,0.000006663937,0.0003245193,3.353977e-7,0.000008724334,0.8314421,0.002819606,0.15588],"study_design_scores_gemma":[0.006180644,0.001151102,0.1899578,0.003105096,0.00006148648,0.000119361,0.008294521,0.1188979,0.001233946,0.6577802,0.01192382,0.001294104],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8940368,0.0005966972,0.005778122,0.005011488,0.00105104,0.0004083089,0.00005099675,0.0001179943,0.09294855],"genre_scores_gemma":[0.9949245,0.00001890581,0.004420701,0.0002407456,0.00004782668,0.000005275147,0.000006266896,0.000004097188,0.0003316094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1811212,"threshold_uncertainty_score":0.3586229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08668199465603729,"score_gpt":0.3403885356767136,"score_spread":0.2537065410206762,"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."}}