{"id":"W2973259627","doi":"10.22621/cfn.v133i1.2073","title":"Body mass as an estimate of female body condition in a hibernating small mammal","year":2019,"lang":"en","type":"article","venue":"The Canadian Field-Naturalist","topic":"Bat Biology and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Forest Service; U.S. Department of Agriculture","keywords":"Hibernation (computing); Reproduction; Lean body mass; Mammal; Biology; Body weight; Body mass index; Fat mass; Animal science; Zoology; Ecology; Endocrinology; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000359607,0.0003482052,0.0001856579,0.001114604,0.0001695109,0.0002184202,0.0001745542,0.0001702483,0.001073899],"category_scores_gemma":[0.0009105661,0.00009974105,0.0001515905,0.0006066669,0.0002270477,0.000186962,0.0001971865,0.0001431124,0.0002527816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003129319,"about_ca_system_score_gemma":0.0001276058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0138217,"about_ca_topic_score_gemma":0.04572227,"domain_scores_codex":[0.9998981,0.00002617969,0.000008339521,0.00002005273,0.00003837344,0.000008994087],"domain_scores_gemma":[0.9996613,0.00008488092,0.0001353343,0.00003052271,0.0000587777,0.00002912083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001713281,0.00002194996,0.9640848,0.00004150215,0.0000940879,0.00004737005,0.0001733496,0.0006943395,0.019542,0.00008206414,0.0001661613,0.01488104],"study_design_scores_gemma":[0.000001683958,0.0000389054,0.9986406,0.000003475656,0.0000127924,0.00005185272,0.0000369255,0.0006063345,0.0004264486,0.00002802879,0.000150806,0.000002173133],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951663,0.0005315455,0.001764869,0.00001904708,0.000008107221,0.00002020679,0.0006955328,0.00005324942,0.001741178],"genre_scores_gemma":[0.997223,0.0001245849,0.001608552,0.0000152814,0.00001019583,0.00001783372,0.0004014533,0.000006613009,0.0005925272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0138217,"threshold_uncertainty_score":0.02748251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01741003662062168,"score_gpt":0.2412080475681525,"score_spread":0.2237980109475308,"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."}}