{"id":"W3204985294","doi":"10.1007/s00360-021-01414-5","title":"Fatty acid profiles of feeding and fasting bears: estimating calibration coefficients, the timeframe of diet estimates, and selective mobilization during hibernation","year":2021,"lang":"en","type":"article","venue":"Journal of Comparative Physiology B","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University; York University","funders":"Natural Sciences and Engineering Research Council of Canada; National Institute of Food and Agriculture; U.S. Geological Survey","keywords":"Mobilization; Hibernation (computing); Calibration; Fatty acid; Chemistry; Animal science; Biology; Food science; Biochemistry; Statistics; Mathematics; Geography; State (computer science)","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":[0.001483253,0.0002211322,0.0002253053,0.0005500291,0.0004200071,0.0005284008,0.000193584,0.0003932079,0.0003770873],"category_scores_gemma":[0.004525911,0.0002514508,0.0001740006,0.0003161302,0.0002820658,0.0004803121,0.0003118865,0.0003976772,0.0001598849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002871994,"about_ca_system_score_gemma":0.0002253845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004585518,"about_ca_topic_score_gemma":0.008533693,"domain_scores_codex":[0.9997519,0.000107737,0.00001840585,0.00006306046,0.00003188635,0.00002710002],"domain_scores_gemma":[0.9984289,0.0007014989,0.0004065196,0.0001815019,0.0001989373,0.0000827316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001932336,0.0000859078,0.9468055,0.00002358093,0.0001851952,0.0000480499,0.0006040396,0.002314574,0.02723833,0.0002135532,0.0001201854,0.02042869],"study_design_scores_gemma":[0.000008164112,0.0001845874,0.9889009,0.000008024091,0.0000654531,0.0001312284,0.0001894077,0.005243147,0.004979004,0.0001019279,0.0001783044,0.000009814666],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982231,0.00008068498,0.001406604,0.000007333511,0.000002044951,0.000005116746,0.00007359396,0.000008060418,0.0001935178],"genre_scores_gemma":[0.9977381,0.00007869307,0.001707713,0.00001152468,0.000004506166,0.00001087764,0.0002886824,0.00001210624,0.0001476638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004585518,"threshold_uncertainty_score":0.009117603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01678573978872634,"score_gpt":0.2618194260200328,"score_spread":0.2450336862313065,"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."}}