{"id":"W3192742221","doi":"10.17221/202/2020-vetmed","title":"Abdominal fat content assessment by computed tomography in toy breed dogs","year":2021,"lang":"en","type":"article","venue":"Veterinární Medicína","topic":"Veterinary Medicine and Surgery","field":"Veterinary","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Education, Science and Technology; National Research Foundation of Korea; National Research Foundation","keywords":"Breed; Maltese; Medicine; Obesity; Computed tomography; Labrador Retriever; Veterinary medicine; Internal medicine; Animal science; Biology; Surgery","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002681869,0.0002255658,0.000248303,0.0009635547,0.0001521282,0.0003285473,0.0001115529,0.0002492527,0.0006350862],"category_scores_gemma":[0.0007504678,0.0002005411,0.0001777975,0.0004192461,0.0003540855,0.0003169439,0.0002375309,0.0001365475,0.0001289644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001313889,"about_ca_system_score_gemma":0.00007209727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001162854,"about_ca_topic_score_gemma":0.001763555,"domain_scores_codex":[0.9998369,0.00003451957,0.00002366896,0.00003746292,0.00003896129,0.00002841572],"domain_scores_gemma":[0.9996876,0.00005582169,0.0001609707,0.00002461586,0.00003826253,0.00003277909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001403613,0.00001528351,0.9943041,0.00001570717,0.00001699833,0.0005459243,0.000109892,0.00004470295,0.002797818,0.00001054477,0.00002235557,0.001976195],"study_design_scores_gemma":[0.000002508098,0.0001405591,0.9957353,0.000008904332,0.00002021695,0.003102158,0.0002447531,0.0001292878,0.0004035551,0.000009249509,0.0002008456,0.000002666754],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995832,0.0001903829,0.0000673402,0.000003145755,8.825369e-7,0.000002209449,0.00003019661,0.000001454133,0.0001211808],"genre_scores_gemma":[0.9995149,0.0001655375,0.000147239,0.000006576552,0.000002858734,0.000002925146,0.00008854838,0.000001063332,0.00007030218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001162854,"threshold_uncertainty_score":0.002312124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1038424577547241,"score_gpt":0.3410904071930438,"score_spread":0.2372479494383197,"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."}}