{"id":"W2890872080","doi":"10.1007/13836_2018_45","title":"Advances in Using Non-invasive, Archival, and Environmental Samples for Population Genomic Studies","year":2018,"lang":"en","type":"book-chapter","venue":"Population genomics","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":47,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Metagenomics; Biology; Genotyping; DNA sequencing; Evolutionary biology; Molecular ecology; Population; Computational biology; Ecology; Genetics; DNA; Genotype; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0235054,0.001231845,0.001668727,0.004729931,0.001007564,0.005838286,0.004339649,0.002375296,0.01619138],"category_scores_gemma":[0.01823755,0.0008937666,0.001225054,0.005501015,0.003985399,0.005969537,0.006363161,0.005026913,0.007207823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001464258,"about_ca_system_score_gemma":0.002661454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004191538,"about_ca_topic_score_gemma":0.01332915,"domain_scores_codex":[0.9930686,0.002267398,0.0003124907,0.001813607,0.002335599,0.0002023305],"domain_scores_gemma":[0.9669456,0.02425012,0.000931774,0.003535504,0.003585185,0.0007518533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008280171,0.0002001671,0.008635228,0.0034932,0.0001979419,0.0002070591,0.002207887,0.0008470785,0.02224302,0.059845,0.04090726,0.8611332],"study_design_scores_gemma":[0.00001856224,0.00009704423,0.01173838,0.001387189,0.0001592274,0.001517407,0.001533181,0.001668356,0.01476657,0.1027385,0.8642463,0.0001292763],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.01318721,0.2026299,0.6421624,0.01749886,0.006273543,0.0005508952,0.009075947,0.001868239,0.1067529],"genre_scores_gemma":[0.03000851,0.1509928,0.7485936,0.008145388,0.004304589,0.0007787687,0.006973208,0.001449468,0.04875353],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.0235054,"threshold_uncertainty_score":0.12431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04227262930711022,"score_gpt":0.2581471007299935,"score_spread":0.2158744714228833,"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."}}