{"id":"W2912718185","doi":"10.1002/ece3.4970","title":"Getting ready for the winter: Timing and determinants of molt in an alpine ungulate","year":2019,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Center for Northern Studies","funders":"Natural Sciences and Engineering Research Council of Canada; Université de Sherbrooke; Université Laval; Universitetet i Tromsø","keywords":"Ungulate; Biology; Moulting; Reproduction; Population; Phenology; Herbivore; Ecology; Zoology; Muda; photoperiodism; Demography; Botany; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001438437,0.00004945045,0.00007530987,0.00001563025,0.00003927125,0.000002362877,0.00004320447,0.00008800218,0.000003454263],"category_scores_gemma":[0.00002352671,0.00003935474,0.00001045204,0.0000137636,0.00006099044,0.000003053932,0.00003235,0.00003187332,4.96051e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003525226,"about_ca_system_score_gemma":0.00001348011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001246094,"about_ca_topic_score_gemma":0.0002392743,"domain_scores_codex":[0.999622,0.00002616704,0.0001028721,0.0001346128,0.00001551074,0.0000988387],"domain_scores_gemma":[0.999804,0.00002824411,0.000043738,0.00009022283,0.00001913581,0.00001471393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001432926,0.00002859004,0.9141778,0.00003823926,0.00001405525,9.685017e-8,0.0001898084,0.0004878673,0.07977097,0.001070724,0.00003642253,0.004042167],"study_design_scores_gemma":[0.0004187538,0.0005400251,0.994293,0.000007813175,0.00001097,0.000007760202,0.0001050468,0.001588732,0.001895775,0.0009575096,0.0001236268,0.00005100261],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983742,0.0004706214,0.000765472,0.000037601,0.0001122995,0.0001787032,0.000004246356,0.000001594168,0.00005524432],"genre_scores_gemma":[0.9980007,0.00001691129,0.00173747,0.00004050122,0.00004206447,0.000009432757,0.000009149296,0.00000418219,0.0001395707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08011522,"threshold_uncertainty_score":0.160484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01345475981558065,"score_gpt":0.2649491831466696,"score_spread":0.251494423331089,"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."}}