{"id":"W2216013245","doi":"","title":"The Amazing Treat Diet for Dogs: How I Saved My Dog from Obesity","year":2014,"lang":"en","type":"article","venue":"PubMed Central","topic":"Diet and metabolism studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Weight loss; Misinformation; Limiting; Medicine; Advertising; Obesity; Psychology; Business; Engineering; Law; Political science; Endocrinology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038758,0.0001706776,0.0003380023,0.00002130404,0.0002733716,0.0000738066,0.0001211914,0.00006162979,0.000007968844],"category_scores_gemma":[0.0006821883,0.0001032736,0.0001819455,0.00006447462,0.0001028146,0.00007016298,0.00004988233,0.0001129893,0.000008194234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000696963,"about_ca_system_score_gemma":0.00003077952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007490091,"about_ca_topic_score_gemma":0.0001261518,"domain_scores_codex":[0.9981942,0.00004262165,0.0001456694,0.0002494398,0.0001952616,0.001172821],"domain_scores_gemma":[0.9990028,0.0002851362,0.00006431435,0.0002838179,0.00004858148,0.0003153825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001973506,0.0003697305,0.6149896,0.0001253321,0.0006836312,0.000008159915,0.003315326,0.000001364159,0.001122624,0.004345006,0.06803105,0.3050347],"study_design_scores_gemma":[0.001661238,0.00006280233,0.7160354,0.00001284914,0.0002360532,4.092507e-7,0.0001777596,0.00004988764,0.0006631214,0.0007467758,0.2802569,0.00009688704],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9798784,0.001944415,0.0005354349,0.008153183,0.002389362,0.001045895,0.00004316706,0.000113404,0.005896744],"genre_scores_gemma":[0.992352,0.0005545105,0.0004633612,0.0004781624,0.002602323,0.0002878757,0.00004187415,0.00002295505,0.003196912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3049378,"threshold_uncertainty_score":0.4211377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01834991032679837,"score_gpt":0.23198372036931,"score_spread":0.2136338100425116,"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."}}