{"id":"W7132879964","doi":"","title":"A canine model for assessment of satiety","year":2005,"lang":"","type":"dissertation","venue":"TSpace","topic":"Veterinary Medicine and Surgery","field":"Veterinary","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto; Hill's Pet Nutrition","keywords":"Task (project management); Food intake; Appetite; Alternation (linguistics); Protocol (science); Meal; Beagle; Obesity","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001203193,0.001162082,0.0009969339,0.002021564,0.000848297,0.0008680202,0.0008681852,0.0015889,0.008895239],"category_scores_gemma":[0.00063479,0.0006385728,0.0007335109,0.0009674652,0.001006479,0.001292187,0.0008193775,0.003387484,0.002716216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001081121,"about_ca_system_score_gemma":0.001018311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00138345,"about_ca_topic_score_gemma":0.003930636,"domain_scores_codex":[0.9991574,0.00009387521,0.00008122657,0.0002414128,0.0002668345,0.0001592889],"domain_scores_gemma":[0.9992477,0.00009994571,0.0001333817,0.000143672,0.0001385439,0.0002368073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.006383514,0.006534901,0.004415665,0.0009229135,0.0001442064,0.001443671,0.000675461,0.0006498048,0.9338911,0.005617666,0.01251891,0.02680233],"study_design_scores_gemma":[0.002127823,0.05792531,0.04628011,0.0005066943,0.0008215797,0.01518938,0.001449221,0.009684241,0.6366755,0.004560292,0.2244284,0.0003515306],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8514104,0.01389245,0.07436563,0.003506365,0.002194698,0.006446769,0.01366184,0.001723649,0.03279822],"genre_scores_gemma":[0.8207875,0.01191899,0.08951176,0.001743338,0.0003983222,0.008999988,0.01984267,0.0004973912,0.0463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008895239,"threshold_uncertainty_score":0.02975756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1475642822447366,"score_gpt":0.4657398716267094,"score_spread":0.3181755893819728,"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."}}