{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003372961,0.000218834,0.0006731468,0.0004915925,0.0001534996,0.00009738874,0.00009570959,0.00007024904,0.0001306161],"category_scores_gemma":[0.0005611714,0.0001238162,0.0001449366,0.000354938,0.0001094624,0.0005034697,0.00007571014,0.0004043458,0.00000486099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002769224,"about_ca_system_score_gemma":0.00009411517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001262622,"about_ca_topic_score_gemma":0.000006554228,"domain_scores_codex":[0.9978602,0.0002532448,0.0009675884,0.0002188696,0.0004574546,0.000242658],"domain_scores_gemma":[0.9977911,0.001444055,0.0002265261,0.0001612131,0.0001736759,0.0002034012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.003480887,0.0004311511,0.1160888,0.003399486,0.00151403,0.03112669,0.02315034,0.00008391702,0.03298387,0.001115597,0.6615654,0.1250598],"study_design_scores_gemma":[0.001832552,0.005168125,0.6868275,0.01327079,0.001105118,0.0518028,0.03200426,0.003908712,0.0001098647,0.01213172,0.1906748,0.001163766],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9588539,0.02330324,0.003262262,0.01244537,0.001831795,0.0001426131,0.000004841693,0.00003168612,0.000124309],"genre_scores_gemma":[0.9937671,0.002272731,0.0003274805,0.0009254232,0.002439944,0.000003469951,0.00001483108,0.0000228364,0.000226157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5707387,"threshold_uncertainty_score":0.5049079,"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."}}