{"id":"W2924684850","doi":"10.1111/1365-2656.12977","title":"Causes and short‐term consequences of variation in milk composition in wild sheep","year":2019,"lang":"en","type":"article","venue":"Journal of Animal Ecology","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université Laval; Centre Hospitalier Universitaire de Sherbrooke; Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Alberta Conservation Association","keywords":"Multivariate statistics; Biology; Explained variation; Composition (language); Variance (accounting); Variation (astronomy); Repeatability; Multivariate analysis; Statistics; Mathematics","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":[0.0009187637,0.0001754906,0.0003370855,0.0006560264,0.0002217682,0.0003596401,0.000433698,0.0005129989,0.0004613536],"category_scores_gemma":[0.001328135,0.0002313204,0.0003516579,0.0003931719,0.0005955998,0.0002626337,0.0004770474,0.00034043,0.00008189707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002410105,"about_ca_system_score_gemma":0.0001181888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001835138,"about_ca_topic_score_gemma":0.004221363,"domain_scores_codex":[0.9994985,0.0001448904,0.00004516298,0.0001961605,0.00006230648,0.00005302573],"domain_scores_gemma":[0.9985244,0.0005195987,0.0006205197,0.000130669,0.00007916774,0.0001257315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002847858,0.00003687432,0.9641216,0.00002841327,0.0002267507,0.0002278128,0.0002665096,0.0003243506,0.02983442,0.00005400098,0.00005449183,0.004539986],"study_design_scores_gemma":[8.236986e-7,0.00002549211,0.9994893,0.000001369078,0.000008589147,0.00006068385,0.00004709681,0.0001908112,0.0001328022,0.00002559962,0.0000155315,0.000001890735],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996363,0.0001924181,0.00009348019,0.000008793036,0.000001008971,6.693591e-7,0.00003284635,0.000003179192,0.00003131588],"genre_scores_gemma":[0.9997337,0.00004013527,0.00008794384,0.000007272262,0.000003386196,0.000002570138,0.00007075637,0.000002960576,0.00005121067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001835138,"threshold_uncertainty_score":0.004858911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009987024821998628,"score_gpt":0.2480917416764366,"score_spread":0.238104716854438,"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."}}