{"id":"W2124922889","doi":"10.1016/s1499-4046(06)60059-6","title":"Using Food Calendars to Self-Monitor: Got 5? Nutrition for Kids Program","year":2003,"lang":"en","type":"article","venue":"Journal of Nutrition Education and Behavior","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Food science; Chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.002267106,0.0005983964,0.0005673665,0.0009812836,0.001994312,0.0009114115,0.001223365,0.001223145,0.01660768],"category_scores_gemma":[0.004359105,0.000735233,0.0007345683,0.0003881246,0.0002660359,0.001376415,0.001842045,0.00216859,0.003742987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001159168,"about_ca_system_score_gemma":0.002399801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01204002,"about_ca_topic_score_gemma":0.03570462,"domain_scores_codex":[0.9992347,0.000151493,0.00009729868,0.0001353334,0.0001486097,0.0002325247],"domain_scores_gemma":[0.9955497,0.0002804585,0.0005005042,0.0002369919,0.000389182,0.003043279],"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":[0.003051403,0.07763511,0.3289508,0.0003297701,0.0001998193,0.0005508784,0.002325305,0.0004273835,0.002104397,0.0003547866,0.1145546,0.4695157],"study_design_scores_gemma":[0.003168519,0.01178781,0.922667,0.000341275,0.0005145285,0.0004739589,0.00431583,0.003090497,0.004305069,0.0008770765,0.04829232,0.0001661429],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9413927,0.0002812106,0.003423377,0.01529142,0.001195276,0.004417316,0.00496468,0.003081125,0.02595289],"genre_scores_gemma":[0.9140339,0.0004885125,0.03965048,0.006834068,0.0003147133,0.004907854,0.004868182,0.000160801,0.02874155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01660768,"threshold_uncertainty_score":0.0555582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03923954366973902,"score_gpt":0.3744907491530039,"score_spread":0.3352512054832649,"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."}}