{"id":"W2799735470","doi":"10.1111/jpn.12893","title":"Exploring relationships between body condition score, body fat, activity level and inflammatory biomarkers","year":2018,"lang":"en","type":"article","venue":"Journal of Animal Physiology and Animal Nutrition","topic":"Veterinary Equine Medical Research","field":"Veterinary","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"University of Guelph","keywords":"Bioelectrical impedance analysis; Lameness; Medicine; Overweight; Internal medicine; Obesity; Synovial fluid; Body fat percentage; Analysis of variance; Endocrinology; Body mass index; Osteoarthritis; Pathology; Surgery","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0003076938,0.000224879,0.0002741058,0.0006124589,0.000276371,0.0004235779,0.000124362,0.0002454874,0.001473128],"category_scores_gemma":[0.0005841077,0.0001115547,0.0001041885,0.0003995045,0.0003364862,0.00018146,0.0001775585,0.0002032661,0.0001799454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000384323,"about_ca_system_score_gemma":0.0003514379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01696788,"about_ca_topic_score_gemma":0.04125591,"domain_scores_codex":[0.999836,0.00002927382,0.00001275591,0.00003357037,0.00004737894,0.00004099121],"domain_scores_gemma":[0.9995087,0.00009134976,0.0001927588,0.0000145918,0.0001067312,0.0000857731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001286265,0.00004371155,0.9901609,0.00001843122,0.00003581104,0.00005411351,0.0001204354,0.00005503779,0.007039481,0.000008276334,0.00006979512,0.002265432],"study_design_scores_gemma":[9.305506e-7,0.0001166042,0.9993155,0.000002604418,0.00000941776,0.00004679499,0.0001073088,0.0001139506,0.0001870957,0.000005729532,0.00009287411,0.000001146106],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994741,0.0001166508,0.00006852664,0.00001224239,9.817467e-7,0.000006565736,0.0001191136,0.00000152164,0.0002002427],"genre_scores_gemma":[0.9991373,0.000081651,0.0002179728,0.00001019224,0.000003131767,0.000009694294,0.000183996,6.288774e-7,0.0003554439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01696788,"threshold_uncertainty_score":0.03373826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3305667381856712,"score_gpt":0.3892782277425975,"score_spread":0.05871148955692629,"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."}}