{"id":"W2942645824","doi":"10.3390/ani9050219","title":"Food Preferences in Dogs: Effect of Dietary Composition and Intrinsic Variables on Diet Selection","year":2019,"lang":"en","type":"article","venue":"Animals","topic":"Human-Animal Interaction Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universidad de Chile","keywords":"Breed; Food preference; Animal science; Dry matter; Biology; Preference; Food intake; Food science; Mathematics; Endocrinology; Statistics","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":[0.0008575489,0.0002286124,0.0003617885,0.000932099,0.0001582523,0.0003649225,0.0001671904,0.0001840994,0.001446322],"category_scores_gemma":[0.001276607,0.000126042,0.0006393169,0.00106094,0.0001588234,0.0002475884,0.0003617078,0.0002038293,0.0002442042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000172887,"about_ca_system_score_gemma":0.0001506134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003451238,"about_ca_topic_score_gemma":0.006939102,"domain_scores_codex":[0.9994532,0.0001742974,0.00007033975,0.0001552665,0.00009248888,0.00005442826],"domain_scores_gemma":[0.9990727,0.0002756813,0.0003922483,0.00008439721,0.0000993825,0.00007567027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000307529,0.00002808713,0.9954771,0.00003422034,0.0002164585,0.00003227128,0.0000588304,0.0001644822,0.0004877791,0.00001018098,0.0001583415,0.00302463],"study_design_scores_gemma":[0.000002583017,0.0000776697,0.9991285,0.0000038151,0.00003478722,0.00008995333,0.00005249434,0.000352546,0.00007041689,0.00001013769,0.0001747963,0.000002150922],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979084,0.0001643181,0.0001871617,0.000008939693,0.000002261408,0.000006013836,0.001520265,0.000006116281,0.0001966195],"genre_scores_gemma":[0.9966588,0.00007624605,0.0003818914,0.000008559882,0.000003142675,0.00001730561,0.002664592,0.000004953551,0.000184653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003451238,"threshold_uncertainty_score":0.006862283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01448538056573418,"score_gpt":0.301515514552502,"score_spread":0.2870301339867678,"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."}}