{"id":"W2055445832","doi":"10.1111/eva.12122","title":"Linking genotype, ecotype, and phenotype in an intensively managed large carnivore","year":2013,"lang":"en","type":"article","venue":"Evolutionary Applications","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Environment and Protected Areas; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; Alberta Conservation Association","keywords":"Biology; Ecotype; Carnivore; Genotype; Phenotype; Phenotypic plasticity; Evolutionary biology; Ecology; Genetics; Gene","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003957151,0.0001543634,0.0001514914,0.0005861687,0.0004520984,0.0003651631,0.0002619242,0.0001781829,0.000459565],"category_scores_gemma":[0.0006338596,0.0001163623,0.00008266828,0.0004361286,0.0006403445,0.0001284691,0.0002544124,0.0001672911,0.00005442555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005734352,"about_ca_system_score_gemma":0.0004162232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08427864,"about_ca_topic_score_gemma":0.3315521,"domain_scores_codex":[0.9998171,0.00004464734,0.000007427185,0.00005787192,0.00003494038,0.00003816985],"domain_scores_gemma":[0.999576,0.00007230377,0.0001706126,0.0000403571,0.00004892542,0.00009165471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003790872,0.00001900929,0.9956664,0.000002673763,0.00002732771,0.00005559211,0.0002529781,0.00005911483,0.002486551,0.00001141177,0.00002310645,0.001357952],"study_design_scores_gemma":[4.58769e-7,0.00001343704,0.9997424,6.330909e-7,0.000003333526,0.00004186711,0.0001033254,0.00004312787,0.00002508753,0.000006206295,0.00001935621,8.217939e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998876,0.00001514737,0.0000292301,0.000002862588,2.617273e-7,8.890875e-7,0.00001790659,6.722202e-7,0.00004549264],"genre_scores_gemma":[0.999736,0.00001339747,0.0001299202,0.000007508724,7.462774e-7,0.00000133558,0.00005293731,8.364759e-7,0.00005732033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08427864,"threshold_uncertainty_score":0.1675762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007640119613860154,"score_gpt":0.2126209557341834,"score_spread":0.2049808361203232,"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."}}