{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004336438,0.0002581782,0.0005382436,0.00006980429,0.00007957905,0.00002622651,0.001360915,0.0002753435,0.00001282757],"category_scores_gemma":[0.0003680889,0.0001834051,0.0001094319,0.0001844137,0.0003134862,0.000001698505,0.0006201543,0.0002408749,0.000002462193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002100376,"about_ca_system_score_gemma":0.005059267,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0114736,"about_ca_topic_score_gemma":0.07970869,"domain_scores_codex":[0.9979289,0.0001811444,0.0004761429,0.0005244412,0.0005158229,0.0003735893],"domain_scores_gemma":[0.9984221,0.00004552825,0.0002050657,0.0009031792,0.0003432021,0.00008094063],"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":[0.000006986328,0.00001564532,0.00002513768,0.0003667935,0.0002351872,0.000001237705,0.00001098579,0.000008281538,0.000003970268,0.00008215591,0.5922477,0.4069959],"study_design_scores_gemma":[0.0001102199,0.00004154388,0.00002284636,0.000193582,0.00005148361,0.000005892977,0.0001531703,0.0001103263,0.00008171699,0.0002735905,0.9987606,0.0001950644],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001472648,0.995675,0.0004320607,0.00009362886,0.0005886644,0.0005867237,0.0003531007,0.000001412791,0.002254713],"genre_scores_gemma":[0.00002192083,0.9921413,0.003340503,0.00003384366,0.0002954864,0.00005719756,0.0004326486,0.00003794574,0.003639174],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.4068009,"threshold_uncertainty_score":0.9951091,"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."}}