{"id":"W2198510965","doi":"10.1016/j.jneb.2015.04.065","title":"Kids Food Reboot: A Campaign to Reboot What Kids Eat Using Social Media","year":2015,"lang":"en","type":"article","venue":"Journal of Nutrition Education and Behavior","topic":"Child Development and Digital Technology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Reboot; Variety (cybernetics); Recipe; Healthy food; Psychology; Medicine; Advertising; Environmental health; Food science; Business; Computer science","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":[0.003065495,0.0008887533,0.0003665698,0.0008676461,0.005573431,0.001760857,0.0009150622,0.005317194,0.01641254],"category_scores_gemma":[0.005390713,0.00051701,0.0005425763,0.0002604816,0.001076366,0.001752965,0.003607776,0.005458697,0.00401654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001120771,"about_ca_system_score_gemma":0.001563761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005604705,"about_ca_topic_score_gemma":0.02513363,"domain_scores_codex":[0.9991215,0.0003414416,0.00003889315,0.0001301714,0.00013305,0.0002349204],"domain_scores_gemma":[0.9942657,0.002334388,0.0004365279,0.0002475214,0.0003800039,0.002335791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.003022309,0.01628224,0.04399941,0.001376232,0.0002532788,0.003974539,0.06212705,0.0003149323,0.02199184,0.003500027,0.5621783,0.28098],"study_design_scores_gemma":[0.001435959,0.004031644,0.11525,0.000659228,0.000306898,0.001095937,0.07996786,0.001545475,0.007221994,0.0015448,0.7867292,0.0002110986],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7360228,0.001393633,0.003851037,0.1230571,0.01786859,0.002305574,0.001366036,0.002282794,0.1118524],"genre_scores_gemma":[0.7796163,0.001354727,0.01241598,0.06357922,0.005456003,0.003695701,0.001539022,0.0004667194,0.1318764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01641254,"threshold_uncertainty_score":0.05490547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08566278908402268,"score_gpt":0.3655191121451415,"score_spread":0.2798563230611189,"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."}}