{"id":"W2921923379","doi":"10.1007/s10592-019-01169-1","title":"Watersheds influence the wood turtle’s (Glyptemys insculpta) genetic structure","year":2019,"lang":"en","type":"article","venue":"Conservation Genetics","topic":"Turtle Biology and Conservation","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"Fondation de la faune du Québec; Canadian Wildlife Federation; Parks Canada","keywords":"Biology; Watershed; Ecology; Genetic diversity; Biodiversity; Turtle (robot); Range (aeronautics); Genetic structure; Endangered species; Genetic variation; Population; Habitat","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":[0.0003494936,0.0001655653,0.0002525934,0.00094734,0.0004520897,0.001221526,0.0004541381,0.0003966355,0.002233519],"category_scores_gemma":[0.001082559,0.0002105748,0.000224801,0.0008125327,0.001170345,0.0006304149,0.001048853,0.000384836,0.000208052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000990388,"about_ca_system_score_gemma":0.0005137069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01606382,"about_ca_topic_score_gemma":0.03912038,"domain_scores_codex":[0.9995597,0.0001322852,0.00002030779,0.0001484695,0.00004852398,0.00009072928],"domain_scores_gemma":[0.9992587,0.00018493,0.0002407181,0.00004779165,0.00009485018,0.0001729682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006133249,0.000362674,0.8898929,0.00005883953,0.000259931,0.0005990918,0.001349106,0.001562302,0.08955116,0.00176053,0.0008794816,0.01311082],"study_design_scores_gemma":[0.000009498581,0.00004753649,0.9967049,0.000003960164,0.00002609952,0.00004345192,0.0006957257,0.0008749184,0.0008251798,0.0002248545,0.0005386305,0.000005383712],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988105,0.00005186249,0.0002821591,0.00004956565,0.00000397409,0.000003632349,0.00005487302,0.00001399186,0.0007293622],"genre_scores_gemma":[0.9995762,0.00001585694,0.0001218225,0.0000152379,0.000001677009,0.00000238654,0.00004613856,0.000007878681,0.000212853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01606382,"threshold_uncertainty_score":0.03194064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00569643483809546,"score_gpt":0.1897699007037883,"score_spread":0.1840734658656928,"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."}}