{"id":"W2047864865","doi":"10.1520/jfs2004207","title":"A PCR Multiplex and Database for Forensic DNA Identification of Dogs","year":2005,"lang":"en","type":"article","venue":"Journal of Forensic Sciences","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Quest University Canada","funders":"","keywords":"Microsatellite; Inbreeding; DNA profiling; Biology; Population; Loss of heterozygosity; Multiplex; Genetics; Forensic identification; Forensic science; Suspect; Evolutionary biology; Database; Allele; DNA; Medicine; Criminology; Computer science; Psychology; Gene","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001018781,0.00006966225,0.0001181963,0.0001203334,0.0001159487,0.00004326201,0.000205843,0.00004366845,0.00000602728],"category_scores_gemma":[0.0003909736,0.00005646728,0.00007802512,0.0001334234,0.0004002735,0.00003094576,0.00002723195,0.00003526085,0.000001528814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006348545,"about_ca_system_score_gemma":0.00008435725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003738714,"about_ca_topic_score_gemma":0.00003141135,"domain_scores_codex":[0.9989727,0.00002529671,0.0005127951,0.0001713827,0.0002095055,0.0001082836],"domain_scores_gemma":[0.99872,0.00003723386,0.000606493,0.0001703916,0.0004131509,0.00005273575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004593958,0.00004670459,0.0009068414,0.00001973999,0.00002051686,9.537072e-8,0.0001025624,0.00005189815,0.9772589,0.002055136,0.004794637,0.01469703],"study_design_scores_gemma":[0.0005696247,0.0002453263,0.006149057,0.00002373478,0.00003139491,0.00004812694,0.0002724779,0.001082949,0.9790483,0.0003124343,0.01212557,0.00009096137],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879826,0.0005898617,0.009892113,0.000952722,0.0003274171,0.0001366166,0.00002980857,0.000002372148,0.00008644527],"genre_scores_gemma":[0.9877236,0.0001326461,0.01162786,0.00008558023,0.0002065393,0.000004143574,0.00001811799,0.000004802579,0.0001966601],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01460607,"threshold_uncertainty_score":0.2302669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03852343319144338,"score_gpt":0.3183460362967306,"score_spread":0.2798226031052873,"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."}}