{"id":"W4392246209","doi":"10.1177/1098612x241228042","title":"Identifying the target population and preventive strategies to combat feline obesity","year":2024,"lang":"en","type":"article","venue":"Journal of Feline Medicine and Surgery","topic":"Veterinary Medicine and Surgery","field":"Veterinary","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Obesity; Medicine; Management of obesity; Population; Environmental health; Weight loss; Pathology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0008699375,0.000370281,0.0006327804,0.0007579214,0.0003134222,0.0006841361,0.0004562753,0.0008798179,0.003656527],"category_scores_gemma":[0.001590933,0.00009385028,0.0003998615,0.0002515918,0.0001650429,0.0005702687,0.0004406184,0.0006585223,0.0006710537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004323816,"about_ca_system_score_gemma":0.001554186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003507255,"about_ca_topic_score_gemma":0.006686574,"domain_scores_codex":[0.9996753,0.0001184081,0.00002226035,0.00004138584,0.00007653971,0.00006611211],"domain_scores_gemma":[0.9996294,0.0001265017,0.00008059609,0.000007593135,0.00009833977,0.00005767395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005804491,0.0008474999,0.06791512,0.0144137,0.0003977208,0.001087755,0.0007713513,0.0006782527,0.01557781,0.004434382,0.03062003,0.862676],"study_design_scores_gemma":[0.0002185252,0.004146269,0.3548727,0.03158358,0.002087177,0.005567593,0.004801687,0.001911325,0.009013516,0.008661821,0.5770227,0.000112998],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2352174,0.6656526,0.0188781,0.0366167,0.002070241,0.000715419,0.002114395,0.0003560422,0.03837907],"genre_scores_gemma":[0.4834288,0.463874,0.02845052,0.008977129,0.001263382,0.001080966,0.001583228,0.00004983778,0.01129218],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003656527,"threshold_uncertainty_score":0.0122323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1093497250498714,"score_gpt":0.3824996707911494,"score_spread":0.273149945741278,"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."}}