{"id":"W2127572043","doi":"10.1016/j.fsigen.2008.01.003","title":"DNA typing in populations of mule deer for forensic use in the Province of Alberta","year":2008,"lang":"en","type":"article","venue":"Forensic Science International Genetics","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Environment and Protected Areas","funders":"TD Friends of the Environment Foundation; Government of Alberta; Alberta Conservation Association","keywords":"Forensic science; Typing; Amelogenin; Population; Biology; Multiplex polymerase chain reaction; Forensic genetics; Multiplex; Microsatellite; Geography; Polymerase chain reaction; Genetics; Medicine; Environmental health; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007147347,0.0002526023,0.0002229427,0.002029824,0.001562309,0.0008906934,0.0008230783,0.0003006665,0.0006595401],"category_scores_gemma":[0.001527321,0.000239015,0.0001371047,0.001766309,0.0007391396,0.0001866319,0.0003879089,0.0003265783,0.00007549107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004535511,"about_ca_system_score_gemma":0.003438676,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8797004,"about_ca_topic_score_gemma":0.9522204,"domain_scores_codex":[0.9993947,0.00008672735,0.00003084015,0.0001026386,0.0002070736,0.0001779966],"domain_scores_gemma":[0.9988421,0.0001262907,0.0001983663,0.00005333327,0.0005691618,0.0002107699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002317701,0.00005716343,0.9851717,0.00001297863,0.00003485182,0.0001832067,0.002195793,0.0002294659,0.003350701,0.0001372255,0.0002869955,0.008108113],"study_design_scores_gemma":[0.000005737313,0.00002446192,0.9963123,0.0000117216,0.00001676462,0.0001739204,0.002356788,0.0002932746,0.0003753078,0.00003635012,0.0003887417,0.000004721428],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994038,0.00006179265,0.00008449623,0.00002151983,0.000002058416,0.000006724857,0.0001037385,0.000001835503,0.0003140997],"genre_scores_gemma":[0.9988913,0.00006425849,0.0002423938,0.00001662887,0.000001648677,0.00000484268,0.0001677971,0.000001742871,0.0006093307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1202996,"threshold_uncertainty_score":0.2420162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04251183920783401,"score_gpt":0.2709662375155694,"score_spread":0.2284543983077353,"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."}}