{"id":"W4381436816","doi":"10.1093/conphys/coad043","title":"A body composition model with multiple storage compartments for polar bears (<i>Ursus maritimus</i>)","year":2023,"lang":"en","type":"article","venue":"Conservation Physiology","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Yukon Department of Environment; University of Winnipeg; York University; The Scarborough Hospital; Environment and Climate Change Canada","funders":"U.S. Geological Survey; Environment and Climate Change Canada; Natural Sciences and Engineering Research Council of Canada; Mitacs; Polar Knowledge Canada","keywords":"Ursus maritimus; Biology; Polar; Ecology; Composition (language); Arctic; Environmental science; Atmospheric sciences; Physics","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":[0.001417585,0.0006734019,0.0006111006,0.0006305529,0.0006269099,0.0008958328,0.001215138,0.001124747,0.001598975],"category_scores_gemma":[0.001844044,0.0005226262,0.00117323,0.0003760378,0.0005899832,0.0005162341,0.0006781478,0.0007636804,0.0003236583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001140127,"about_ca_system_score_gemma":0.001105142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04551452,"about_ca_topic_score_gemma":0.02292117,"domain_scores_codex":[0.9997738,0.00007331448,0.00001008915,0.00008687435,0.00001999032,0.00003582654],"domain_scores_gemma":[0.9992172,0.0004553612,0.0001135782,0.00004056529,0.0001125238,0.00006068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006123411,0.00003469272,0.008080082,0.000008906328,0.00005541128,0.00003983865,0.00002508496,0.988748,0.0005734878,0.0005281814,0.0001501283,0.001694974],"study_design_scores_gemma":[0.000007365637,0.000008443995,0.0009275578,0.000002465627,0.000008579185,0.000004755875,0.000004194993,0.9987292,0.00004466498,0.0002083138,0.00005100619,0.000003318341],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8223387,0.0003015581,0.1730102,0.0005826062,0.00006274976,0.0000790257,0.001233111,0.0003747613,0.002017406],"genre_scores_gemma":[0.9828109,0.00007133019,0.01441821,0.0001113364,0.00002307047,0.0001396385,0.0006799396,0.00003934905,0.001706172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04551452,"threshold_uncertainty_score":0.09049922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0306887055026776,"score_gpt":0.2576960399608019,"score_spread":0.2270073344581243,"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."}}