{"id":"W7146078214","doi":"","title":"Forensic DNA Identification and Canadian Criminal Law","year":2008,"lang":"en","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Identification (biology); Criminal law; Forensic science; Forensic identification; Criminal investigation; Criminal justice; Forensic genetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000132691,0.0001248844,0.00009056629,0.00005339416,0.0007100861,0.00005041197,0.0001375812,0.00009266,0.00001280977],"category_scores_gemma":[0.0001360471,0.0001231546,0.0000376429,0.00008243702,0.0008869451,0.00002177214,0.00009968269,0.00009003234,0.00002284935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004932196,"about_ca_system_score_gemma":0.000666821,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02672398,"about_ca_topic_score_gemma":0.0319589,"domain_scores_codex":[0.9988684,0.00003014176,0.0002005278,0.0003697816,0.0002729371,0.0002582023],"domain_scores_gemma":[0.9991091,0.0000107173,0.00004039614,0.0003879128,0.0002068394,0.0002450277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003267113,0.0001279809,0.01532384,0.0001383265,0.0001953667,0.0006982374,0.000334721,0.00008961649,0.6930705,0.2307675,0.05552262,0.003404601],"study_design_scores_gemma":[0.0006321089,0.0001982195,0.03733029,0.00004405565,0.00004178233,0.003043592,0.0001384239,0.00008881043,0.4761951,0.0003622031,0.4814797,0.0004456981],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893112,0.0008953368,0.001004813,0.0002558978,0.000706632,0.0001640697,0.0002797505,0.00001220658,0.007370152],"genre_scores_gemma":[0.9953671,0.0001683904,0.0009574366,0.0002171259,0.0006060973,0.00002237991,0.001533,0.000009863127,0.001118618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4259571,"threshold_uncertainty_score":0.9857053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02135910941894433,"score_gpt":0.2660988491710755,"score_spread":0.2447397397521311,"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."}}