{"id":"W3170121748","doi":"","title":"Research Guides: Government Documents - Canada: Forensic Sciences","year":2013,"lang":"en","type":"libguides","venue":"","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Forensic science; Library science; Political science; Data science; Geography; Computer science; Archaeology; Linguistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002492429,0.001448979,0.0008830816,0.006216082,0.008950267,0.006472394,0.002493758,0.003754324,0.3031506],"category_scores_gemma":[0.008415647,0.0009572068,0.0005966187,0.008498564,0.00213938,0.002034188,0.00169585,0.002917284,0.09014523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03067505,"about_ca_system_score_gemma":0.1336702,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9211633,"about_ca_topic_score_gemma":0.971239,"domain_scores_codex":[0.9966168,0.0001528518,0.0001143374,0.000193446,0.002555717,0.0003668644],"domain_scores_gemma":[0.9852192,0.0009142125,0.0002762159,0.0004586083,0.01213127,0.001000441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000253266,0.00004838983,0.0005626312,0.0001555997,0.000002584681,0.00006191148,0.0001515834,0.0001245628,0.0001769918,0.008103883,0.9340203,0.05656636],"study_design_scores_gemma":[0.000004946147,0.000006161741,0.002144727,0.0001227196,0.000003209165,0.00004550201,0.0002772268,0.0001048136,0.0003847276,0.001134113,0.9957597,0.00001216514],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001610048,0.003775033,0.001264141,0.007650237,0.001282703,0.0004553435,0.01975606,0.001248799,0.9629576],"genre_scores_gemma":[0.002132172,0.001460097,0.001294923,0.0005700493,0.00006187994,0.00005375936,0.00349859,0.0002282646,0.9907003],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9935276,"threshold_uncertainty_score":0.9939712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04083053334814147,"score_gpt":0.3448816900237082,"score_spread":0.3040511566755667,"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."}}