{"id":"W2158553957","doi":"10.1016/j.jneb.2013.04.208","title":"Fighting Obesity among Low-Income 9-14 Year Olds: A Home-based Intervention Using Mobile Phones to Deliver Customized Nutrition Outreach","year":2013,"lang":"en","type":"article","venue":"Journal of Nutrition Education and Behavior","topic":"Child Development and Digital Technology","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Outreach; Intervention (counseling); Obesity; Low income; Environmental health; Gerontology; Business; Medicine; Psychology; Socioeconomics; Economic growth; Nursing; Sociology; Economics","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":[0.000415121,0.0005603229,0.0004889353,0.0005461145,0.001535109,0.0004411541,0.0007048995,0.0007191758,0.00442956],"category_scores_gemma":[0.0005760339,0.000404437,0.0006900076,0.0002602959,0.0002405353,0.0003026483,0.0007952114,0.000909182,0.0004343431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004892264,"about_ca_system_score_gemma":0.001174881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01778527,"about_ca_topic_score_gemma":0.03537053,"domain_scores_codex":[0.9998211,0.00003450866,0.00001090137,0.00003319884,0.00002442249,0.00007588478],"domain_scores_gemma":[0.9996831,0.0000367894,0.00002838733,0.00001084915,0.00002548539,0.0002153284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"nonrandomized_trial","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.0129812,0.4365686,0.1700948,0.001110845,0.0005078708,0.002355375,0.007211271,0.0004807388,0.02313331,0.0002531205,0.006113975,0.339189],"study_design_scores_gemma":[0.008135089,0.08048948,0.892306,0.0003199562,0.0009118113,0.000478432,0.007794986,0.0012385,0.003657008,0.0001113305,0.004486101,0.00007127535],"study_design_candidate":"nonrandomized_trial","study_design_consensus":"nonrandomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987478,0.00005465341,0.00007387466,0.0001072359,0.00004103443,0.0002687817,0.00005361596,0.00002217948,0.0006306067],"genre_scores_gemma":[0.9929515,0.00041562,0.002524366,0.0002579037,0.00006981743,0.0006825078,0.0001962048,0.000005900721,0.002896161],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01778527,"threshold_uncertainty_score":0.0353635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01352762491118871,"score_gpt":0.3021168329553985,"score_spread":0.2885892080442098,"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."}}