{"id":"W2912494056","doi":"10.2196/10284","title":"Digital Gaming for Nutritional Education: A Survey on Preferences, Motives, and Needs of Children and Adolescents","year":2019,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Technische Universität München; Bundesministerium für Bildung und Forschung","keywords":"Overweight; Childhood obesity; Nutrition Education; Psychology; Anthropometry; The Internet; Medical education; Medicine; Obesity; Developmental psychology; Gerontology; 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":[0.001173471,0.0002542376,0.0003819416,0.0009466539,0.000367026,0.0005221128,0.0002509417,0.0004688342,0.002054586],"category_scores_gemma":[0.001933458,0.0003305505,0.0004923168,0.0008715014,0.000194477,0.0005152917,0.0004481178,0.0004869604,0.0004131822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003504112,"about_ca_system_score_gemma":0.0004153009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004663031,"about_ca_topic_score_gemma":0.007210955,"domain_scores_codex":[0.9994454,0.0001402507,0.00009616897,0.00005609139,0.0001419626,0.0001201384],"domain_scores_gemma":[0.9988331,0.0002138696,0.0005002187,0.00002677346,0.0001759726,0.0002500367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002457384,0.0001521229,0.9934379,0.00006140504,0.0000148613,0.0001199561,0.001457254,0.00002377988,0.0002902709,0.00001965963,0.0002735759,0.0041246],"study_design_scores_gemma":[0.000004319229,0.0001526988,0.9956222,0.00002868652,0.00001403587,0.000297884,0.002887258,0.0001060843,0.00008188865,0.00001353236,0.0007861881,0.000005097178],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987692,0.0001575041,0.00003487301,0.00006048442,0.000002797595,0.0000455816,0.0004061195,0.000002400753,0.0005210378],"genre_scores_gemma":[0.997946,0.0004761369,0.0003123163,0.00009330102,0.000006161592,0.00009599796,0.0005491802,0.000002850161,0.0005180195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004663031,"threshold_uncertainty_score":0.009271741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0903527526110193,"score_gpt":0.4908220039464251,"score_spread":0.4004692513354058,"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."}}