{"id":"W4377004059","doi":"10.2196/preprints.44792","title":"Using Human-Centered Design and Cocreation to Create the Live 5-2-1-0 Mobile App to Promote Healthy Behaviors in Children: App Design and Development (Preprint)","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Thematic analysis; Usability; Focus group; Childhood obesity; Medicine; Mobile apps; Psychology; General partnership; Coaching; Session (web analytics); mHealth; Medical education; Qualitative research; Nursing; Psychological intervention; Computer science; Overweight; Obesity; Political science; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.008272654,0.0008930661,0.0003099978,0.0007454402,0.0008876366,0.002398817,0.001223519,0.0007219088,0.0080715],"category_scores_gemma":[0.008968469,0.0005009393,0.0006727431,0.000310248,0.001243702,0.001318094,0.002688885,0.0007471452,0.001445286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007690456,"about_ca_system_score_gemma":0.002821203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001292906,"about_ca_topic_score_gemma":0.002820513,"domain_scores_codex":[0.9947968,0.003599493,0.0002377677,0.0004634613,0.0006278176,0.0002747057],"domain_scores_gemma":[0.9949259,0.003348909,0.0002212517,0.0003759432,0.0008184172,0.0003097519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001009852,0.003002746,0.01616991,0.005519763,0.0001969575,0.001924417,0.09221072,0.004956048,0.03709699,0.02128158,0.03679077,0.7798403],"study_design_scores_gemma":[0.002108219,0.01324945,0.0294556,0.005113754,0.0007240489,0.002495203,0.05019823,0.02719555,0.06147107,0.02027805,0.7871161,0.0005948765],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2918521,0.00175252,0.611867,0.003005888,0.0008466735,0.03327315,0.001238115,0.004122321,0.05204222],"genre_scores_gemma":[0.1888328,0.001057045,0.7690446,0.0008621992,0.00006426722,0.02602055,0.000559491,0.0004596273,0.01309938],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008272654,"threshold_uncertainty_score":0.04375046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1311453212036799,"score_gpt":0.4437647050186505,"score_spread":0.3126193838149706,"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."}}