{"id":"W2069246343","doi":"10.3389/fgene.2013.00249","title":"The National DNA Data Bank of Canada: a Quebecer perspective","year":2013,"lang":"en","type":"review","venue":"Frontiers in Genetics","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières; Université de Sherbrooke","funders":"","keywords":"Perspective (graphical); Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01205929,0.001245099,0.001241151,0.01621914,0.008665436,0.01419269,0.006094569,0.002972306,0.01532994],"category_scores_gemma":[0.02924885,0.0008056217,0.000770047,0.03311503,0.004575979,0.006714089,0.003300485,0.004001034,0.003555213],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1638213,"about_ca_system_score_gemma":0.3112598,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9964522,"about_ca_topic_score_gemma":0.9950724,"domain_scores_codex":[0.9858491,0.002205986,0.001082035,0.001349272,0.007739567,0.001774013],"domain_scores_gemma":[0.9394182,0.00566194,0.001722377,0.002601547,0.04576573,0.00483022],"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":[0.0001029373,0.00005630212,0.01079294,0.001114954,0.00008462668,0.0004797705,0.00128247,0.001703194,0.0005538249,0.2135238,0.6073527,0.1629523],"study_design_scores_gemma":[0.00001301237,0.00001331528,0.0115868,0.001158471,0.00003328717,0.0001337763,0.001069403,0.0009357069,0.0001914706,0.00493388,0.9798456,0.00008532144],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.009043241,0.1102438,0.01793429,0.48286,0.005932175,0.0006751482,0.1082074,0.001516955,0.263587],"genre_scores_gemma":[0.2171075,0.2412251,0.1254317,0.08035849,0.003901575,0.001044193,0.128621,0.001725008,0.2005853],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.8361788,"threshold_uncertainty_score":0.9698488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0498593022453593,"score_gpt":0.3438375917158271,"score_spread":0.2939782894704678,"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."}}