{"id":"W3155596826","doi":"10.2196/21471","title":"Development of a Mobile App to Improve Numeracy Skills of Children With Autism Spectrum Disorder: Participatory Design and Usability Study","year":2021,"lang":"en","type":"article","venue":"JMIR Pediatrics and Parenting","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Usability; Numeracy; Autism spectrum disorder; Focus group; Participatory design; Psychology; Computer science; Protocol (science); Mobile technology; Mobile apps; Autism; Applied psychology; Literacy; Mobile device; Human–computer interaction; Developmental psychology; World Wide Web; Engineering; Pedagogy; Medicine","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":[0.02281175,0.0007850616,0.0009332524,0.002147139,0.003109515,0.001602496,0.001178434,0.001147317,0.001233834],"category_scores_gemma":[0.01947793,0.0006678273,0.001055497,0.0008531822,0.002340255,0.00161726,0.003113806,0.0008397512,0.0001970817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001268229,"about_ca_system_score_gemma":0.003418473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001247243,"about_ca_topic_score_gemma":0.002071528,"domain_scores_codex":[0.985876,0.01037494,0.0006929719,0.0009901955,0.00115531,0.000910642],"domain_scores_gemma":[0.9849735,0.0112355,0.0005950599,0.0007938859,0.001942717,0.0004592775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0006436371,0.004243413,0.03488573,0.004002874,0.0001521804,0.005198816,0.7060991,0.001462839,0.02416274,0.00294919,0.001726567,0.2144729],"study_design_scores_gemma":[0.00107055,0.02449094,0.07312351,0.003648287,0.0007114473,0.005223887,0.7779845,0.005203987,0.02493394,0.00423472,0.07901186,0.0003623453],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9723099,0.0003891669,0.01642338,0.0004329976,0.00004309031,0.006378519,0.00009522794,0.00005606337,0.003871592],"genre_scores_gemma":[0.893773,0.001102675,0.08892646,0.0003634325,0.00003013793,0.01351099,0.0001079252,0.00004503658,0.002140356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02281175,"threshold_uncertainty_score":0.1206415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02481079543784432,"score_gpt":0.3091327949287547,"score_spread":0.2843219994909104,"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."}}