{"id":"W2056740592","doi":"10.1007/s10592-006-9193-y","title":"Characterization of target nuclear DNA from faeces reduces technical issues associated with the assumptions of low-quality and quantity template","year":2006,"lang":"en","type":"article","venue":"Conservation Genetics","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":119,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba; Parks Canada; Trent University","funders":"Natural Sciences and Engineering Research Council of Canada; Parks Canada; Manitoba Hydro","keywords":"Woodland caribou; Biology; DNA; Nuclear DNA; Population; Feces; Ecology; Genetics; Habitat; Mitochondrial DNA","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002332224,0.0009998531,0.0009829749,0.001465131,0.001098118,0.001953209,0.001109011,0.00139799,0.005839413],"category_scores_gemma":[0.01258778,0.0006736834,0.001003569,0.0009007826,0.001450731,0.001038103,0.0008768761,0.001637818,0.005265863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004046682,"about_ca_system_score_gemma":0.001455565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002090879,"about_ca_topic_score_gemma":0.008925743,"domain_scores_codex":[0.9977018,0.0005580471,0.000319549,0.0007287277,0.0005090907,0.0001828374],"domain_scores_gemma":[0.9894076,0.004500896,0.000982912,0.002451032,0.002355656,0.000301902],"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":[0.0001653455,0.0001613516,0.005130198,0.0004385088,0.0000459287,0.0001373755,0.0002946994,0.0004129608,0.9787964,0.0008810951,0.0002566865,0.01327942],"study_design_scores_gemma":[0.00005228856,0.0006121261,0.01456641,0.0001663208,0.0001959015,0.0008413633,0.0003747936,0.004046181,0.9599344,0.001515431,0.01765668,0.00003818784],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3452333,0.001649618,0.6313149,0.000680313,0.0004025843,0.001263274,0.007077396,0.001041905,0.01133677],"genre_scores_gemma":[0.3721312,0.002521695,0.5782048,0.00148623,0.0001937562,0.001500686,0.02637,0.001489201,0.01610241],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005839413,"threshold_uncertainty_score":0.01953477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02391671305036182,"score_gpt":0.2367211629419186,"score_spread":0.2128044498915568,"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."}}