{"id":"W4285332554","doi":"10.2196/34588","title":"Intervention Mapping of a Gamified Therapy Prescription App for Children With Disabilities: User-Centered Design Approach","year":2022,"lang":"en","type":"article","venue":"JMIR Pediatrics and Parenting","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"mHealth; User-centered design; Operationalization; Psychology; Autism; Applied psychology; Competence (human resources); Goal setting; Participatory design; Occupational therapy; Computer science; Developmental psychology; Psychological intervention; Human–computer interaction; Psychiatry; Social psychology","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":[0.008810143,0.001112551,0.0004914622,0.001445017,0.0008164478,0.001820584,0.001619697,0.001075057,0.004057154],"category_scores_gemma":[0.01060329,0.0006776071,0.001099843,0.0003813801,0.00102761,0.001251163,0.001928001,0.0008309373,0.0004226491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001005929,"about_ca_system_score_gemma":0.002155483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000498528,"about_ca_topic_score_gemma":0.001293023,"domain_scores_codex":[0.9946562,0.004059716,0.0002998738,0.000391451,0.000381419,0.0002113525],"domain_scores_gemma":[0.9947302,0.003946087,0.0002344026,0.0003142935,0.0005674342,0.000207514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003897449,0.007806291,0.01643468,0.01385298,0.0005849916,0.001533074,0.05071701,0.03351235,0.05875795,0.0298059,0.006331233,0.7767661],"study_design_scores_gemma":[0.01061956,0.05242472,0.04175688,0.008023465,0.003953657,0.00400345,0.04367251,0.3230276,0.1610906,0.06618357,0.2841631,0.001080867],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2884968,0.0008202404,0.6524064,0.0007621614,0.0001344976,0.04333454,0.0004537048,0.002277422,0.01131413],"genre_scores_gemma":[0.1719909,0.0002650167,0.8026801,0.0001570304,0.00001080948,0.02333355,0.0001024546,0.00006956845,0.00139059],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008810143,"threshold_uncertainty_score":0.04659307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.090832146618403,"score_gpt":0.3494588557658085,"score_spread":0.2586267091474055,"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."}}