{"id":"W3001752014","doi":"10.1371/journal.pone.0216516","title":"Best compromise nutritional menus for childhood obesity","year":2020,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Computer Research Institute of Montréal","funders":"Fondo de Fomento al Desarrollo Científico y Tecnológico; Comisión Nacional de Investigación Científica y Tecnológica","keywords":"Compromise; Childhood obesity; Obesity; Medicine; Gerontology; Bioinformatics; Biology; Overweight; Internal medicine; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006338113,0.0007605503,0.000536147,0.001003063,0.0004727796,0.001173996,0.0006823204,0.0008625199,0.005791723],"category_scores_gemma":[0.002024522,0.0003492413,0.0009084849,0.0006558898,0.0002751262,0.0009009513,0.0009655494,0.0006253488,0.0004018143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008443591,"about_ca_system_score_gemma":0.00138269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003418518,"about_ca_topic_score_gemma":0.004994499,"domain_scores_codex":[0.9997087,0.0001401015,0.00001113756,0.00003752634,0.00005268948,0.00004992618],"domain_scores_gemma":[0.9996716,0.0001833723,0.00005969999,0.00001730346,0.00003462728,0.00003336927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001809713,0.0001964301,0.002342552,0.0002142171,0.00005087831,0.0001976583,0.00008912915,0.9497546,0.001853866,0.01192376,0.001474477,0.03172145],"study_design_scores_gemma":[0.00004682342,0.0002207343,0.001089081,0.00009287117,0.00005127219,0.0001214465,0.0002740758,0.981471,0.001107848,0.01201925,0.003485488,0.00002018189],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3491871,0.002390392,0.610005,0.001496079,0.0001613796,0.0004555106,0.0009403288,0.0005805955,0.03478356],"genre_scores_gemma":[0.7634289,0.001028159,0.2297907,0.0001670334,0.00001832236,0.0002851173,0.0003539435,0.00009688332,0.004831132],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005791723,"threshold_uncertainty_score":0.01937526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0610845624214161,"score_gpt":0.2549296757793355,"score_spread":0.1938451133579194,"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."}}