{"id":"W2735296885","doi":"","title":"Avaliação da condição corpórea em cães utilizando o indice de massa corpórea (IMC) e escore de condição corpórea (ECC)","year":2016,"lang":"pt","type":"article","venue":"Ciência Veterinária nos Trópicos","topic":"Veterinary Medicine and Surgery","field":"Veterinary","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Body weight; Underweight; Animal science; Medicine; Overweight; Body mass index; Mathematics; Biology; Internal medicine","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":[0.001082459,0.0003179147,0.0004197583,0.00266614,0.0001637717,0.0006888628,0.0002025919,0.0003550722,0.0008119254],"category_scores_gemma":[0.001492805,0.0001844046,0.000362103,0.001079857,0.000523165,0.0004702962,0.0002848113,0.0002260553,0.0002530437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002751972,"about_ca_system_score_gemma":0.0001686931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001221388,"about_ca_topic_score_gemma":0.00250846,"domain_scores_codex":[0.9994241,0.0001192629,0.00005688971,0.0001190184,0.0002109541,0.00006964227],"domain_scores_gemma":[0.9988549,0.0002608332,0.000515866,0.00008039551,0.0001968979,0.0000910984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005387393,0.00008790346,0.9315394,0.0002289278,0.0001474451,0.0004607543,0.0004455934,0.0002137777,0.02650464,0.0001518746,0.0001687553,0.03951216],"study_design_scores_gemma":[0.000008343754,0.0007190541,0.9901187,0.00005730115,0.0001129248,0.002278404,0.0003055532,0.0006440124,0.004441341,0.00005256054,0.001247034,0.00001474315],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946033,0.002968404,0.0009426022,0.00002214684,0.00001186574,0.0000187903,0.0001387561,0.00002366089,0.001270488],"genre_scores_gemma":[0.9962128,0.001436521,0.0017051,0.00001560812,0.00003385424,0.00001582678,0.0002237207,0.000006805067,0.0003497701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00266614,"threshold_uncertainty_score":0.005724669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1008215802082668,"score_gpt":0.3306934148664951,"score_spread":0.2298718346582283,"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."}}