{"id":"W6910964431","doi":"10.5061/dryad.7f9q2cd","title":"Data from: High genomic diversity and candidate genes under selection associated with range expansion in eastern coyote (Canis latrans) populations","year":2018,"lang":"en","type":"dataset","venue":"Data Archiving and Networked Services (DANS)","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Range (aeronautics); Selection (genetic algorithm); Local adaptation; Biological dispersal; Population; Genetic diversity; Population genomics; Single-nucleotide polymorphism; International HapMap Project","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":[0.0005805865,0.000181198,0.0002573343,0.001367635,0.0006027317,0.0005005904,0.0002534696,0.0003524497,0.003659346],"category_scores_gemma":[0.00157733,0.0001288074,0.0002030913,0.001819135,0.000275376,0.00016902,0.0004785805,0.0004328623,0.0006227274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002689096,"about_ca_system_score_gemma":0.0003856812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01204099,"about_ca_topic_score_gemma":0.04534851,"domain_scores_codex":[0.9995496,0.00005356165,0.00003862518,0.0001903418,0.0001162123,0.00005172273],"domain_scores_gemma":[0.9982438,0.0005805855,0.0003634736,0.0002224522,0.0003801046,0.0002096416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00110045,0.0002042409,0.8523762,0.000465748,0.0004765342,0.0007722576,0.002370932,0.0006152267,0.09358561,0.0003651823,0.00735411,0.04031355],"study_design_scores_gemma":[0.00002729164,0.00003076443,0.9938527,0.00001999058,0.00005259358,0.000153705,0.0001348482,0.0001720361,0.001394991,0.00005128317,0.004100373,0.000009389791],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9809195,0.0002009478,0.0006893331,0.00009557659,0.000009649277,0.0000287734,0.01617216,0.00004083391,0.001843148],"genre_scores_gemma":[0.9241417,0.0002281621,0.004707857,0.0002580867,0.00002715725,0.000204253,0.06776839,0.000051768,0.002612551],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.01204099,"threshold_uncertainty_score":0.02394181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03536833914966549,"score_gpt":0.2520532828361247,"score_spread":0.2166849436864592,"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."}}