{"id":"W2157008677","doi":"10.1111/j.1556-4029.2009.01087.x","title":"Application of DNA Forensic Techniques for Identifying Poached Guanacos (<i>Lama guanicoe</i>) in Chilean Patagonia*","year":2009,"lang":"en","type":"article","venue":"Journal of Forensic Sciences","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Comisión Nacional de Investigación Científica y Tecnológica; Natural Sciences and Engineering Research Council of Canada; Universidad de Chile","keywords":"Ungulate; Suspect; Poaching; Biology; Mitochondrial DNA; Wildlife; Population; Zoology; Geography; Ecology; Criminology; Genetics; Gene; Medicine; Environmental health; Psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001206455,0.0001002917,0.0001916912,0.0002326271,0.00009295232,0.00004198519,0.000388006,0.00008174921,0.000002875745],"category_scores_gemma":[0.0002082064,0.00008592045,0.0001358298,0.0003352646,0.000206403,0.00002836459,0.00002051151,0.00006728355,8.940239e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001689216,"about_ca_system_score_gemma":0.0001015625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005899558,"about_ca_topic_score_gemma":0.00002669396,"domain_scores_codex":[0.9986713,0.00003883831,0.0006411978,0.0002203191,0.0002631861,0.0001651802],"domain_scores_gemma":[0.9986582,0.0000252956,0.0007125759,0.0002219108,0.0003374449,0.00004453947],"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":[0.00005363231,0.0000905344,0.001132469,0.00001522771,0.00001232917,3.032816e-7,0.0001015542,0.00002966744,0.9424461,0.004196643,0.001367112,0.05055449],"study_design_scores_gemma":[0.0003710101,0.0005370626,0.01637696,0.00004828313,0.00001839904,0.00003017685,0.0003639779,0.0003264664,0.9761809,0.003766158,0.001864493,0.0001160834],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9417517,0.0003947403,0.05595318,0.0009190245,0.0002551556,0.0003615248,0.00001076664,0.000008250189,0.0003456984],"genre_scores_gemma":[0.9852951,0.00007373948,0.014259,0.0001555548,0.0001504534,0.000008709329,0.00001654749,0.000005904033,0.00003506134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05043841,"threshold_uncertainty_score":0.3503734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03352603226164209,"score_gpt":0.3260277864675373,"score_spread":0.2925017542058952,"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."}}