{"id":"W3155578757","doi":"10.2196/28020","title":"Integrating Behavior of Children with Profound Intellectual, Multiple, or Severe Motor Disabilities With Location and Environment Data Sensors for Independent Communication and Mobility: App Development and Pilot Testing","year":2021,"lang":"en","type":"article","venue":"JMIR Rehabilitation and Assistive Technologies","topic":"Assistive Technology in Communication and Mobility","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Japan Society for the Promotion of Science; Ministry of Internal Affairs and Communications","keywords":"Observational study; Psychology; Categorization; Intellectual disability; Affect (linguistics); Computer science; Developmental psychology; Medicine; Communication; Artificial intelligence","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":[0.002345049,0.00122529,0.0005747782,0.0007348544,0.000384197,0.0005676586,0.0009800661,0.0005169025,0.001741385],"category_scores_gemma":[0.004178949,0.0004390558,0.0006976168,0.0002548859,0.0005167361,0.000801401,0.001490858,0.0006166315,0.0005727586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003999647,"about_ca_system_score_gemma":0.001099081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003132835,"about_ca_topic_score_gemma":0.006387204,"domain_scores_codex":[0.9988242,0.0003671109,0.0001360798,0.0002154618,0.0002307104,0.0002263717],"domain_scores_gemma":[0.9976457,0.001085112,0.0002092624,0.0001685201,0.000555495,0.0003358551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003502804,0.0361727,0.4986417,0.002250078,0.0002448037,0.004685875,0.03538845,0.003611275,0.0601036,0.0004385666,0.00451756,0.3504424],"study_design_scores_gemma":[0.0008838266,0.0574749,0.8379675,0.0004570282,0.0004406626,0.004940128,0.01837399,0.01586204,0.05195227,0.0004989338,0.01094233,0.0002063749],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99584,0.0000309971,0.00191495,0.00002600019,0.000006425974,0.001138804,0.0003082046,0.0001977767,0.0005369888],"genre_scores_gemma":[0.944938,0.0003018632,0.04671491,0.00008714844,0.0000115392,0.004794621,0.001253255,0.00005648608,0.001842217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003132835,"threshold_uncertainty_score":0.012402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1050083745315817,"score_gpt":0.3755212080603403,"score_spread":0.2705128335287587,"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."}}