{"id":"W4281752187","doi":"10.1002/ece3.8993","title":"A genotyping‐in‐thousands by sequencing panel to inform invasive deer management using noninvasive fecal and hair samples","year":2022,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Parks Canada; Okanagan University College; University of British Columbia, Okanagan Campus; Kelowna General Hospital; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Parks Canada","keywords":"Genotyping; Feces; Biology; Zoology; Ecology; Genotype; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001782742,0.0001008496,0.0001114954,0.00005905771,0.000742384,0.000008283619,0.00007728107,0.00004188738,0.0002363603],"category_scores_gemma":[0.00001516055,0.000114003,0.00001433604,0.0001364548,0.0001878593,0.0001275872,0.0009950227,0.0001050495,0.00003279201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001340117,"about_ca_system_score_gemma":0.000004124589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004994216,"about_ca_topic_score_gemma":0.000749032,"domain_scores_codex":[0.9992025,0.00004503987,0.0001132878,0.0002710318,0.0001218893,0.0002461756],"domain_scores_gemma":[0.9997863,0.00004608928,0.00004167563,0.00006960691,0.000001491554,0.00005480207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002709469,0.00002516305,0.9889935,0.000009809717,0.00001723082,0.00001933796,0.001670358,0.003358279,0.004756045,0.00004905265,0.0007993313,0.000274821],"study_design_scores_gemma":[0.0003247219,0.0001403666,0.9938977,0.000004301393,0.00001905354,0.00003096605,0.003817589,0.0003030115,0.0001585055,0.0002111744,0.0009552038,0.0001374291],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985434,0.0001074467,0.0001947409,0.0002185201,0.00007341666,0.0002761346,0.00002320041,0.00001291466,0.0005501988],"genre_scores_gemma":[0.9958895,0.00007435837,0.003347625,0.0004569553,0.000005750331,0.00003494849,0.000009758299,0.00000432784,0.0001767666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0049042,"threshold_uncertainty_score":0.5709893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02487235150262318,"score_gpt":0.2107118823054567,"score_spread":0.1858395308028336,"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."}}