{"id":"W3134198377","doi":"10.20900/jpbs.20210004","title":"Grant Report on mCARE: Mobile-Based Care for Children with Autism Spectrum Disorder (ASD) for Low- and Middle-Income Countries (LMICs)","year":2021,"lang":"en","type":"article","venue":"Journal of Psychiatry and Brain Science","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute of Mental Health","keywords":"Autism spectrum disorder; Mobile phone; Milestone; Low and middle income countries; Developing country; Autism; Psychology; Business; Medicine; Geography; Psychiatry; Computer science; Economic growth; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004661373,0.0004821274,0.0001734404,0.0004285196,0.002070768,0.001609037,0.001592898,0.001313352,0.02703336],"category_scores_gemma":[0.008490886,0.0002550784,0.0003916412,0.0003702833,0.0007243528,0.00180593,0.003821208,0.001804666,0.005526321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0011504,"about_ca_system_score_gemma":0.01179914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02373869,"about_ca_topic_score_gemma":0.03557505,"domain_scores_codex":[0.9977143,0.0008334898,0.0001277684,0.0001896795,0.0007093557,0.0004255263],"domain_scores_gemma":[0.9897597,0.002223359,0.0003727751,0.0007143164,0.003453024,0.00347675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004557775,0.002337201,0.02543356,0.000769389,0.00003271308,0.001421799,0.005735439,0.000702645,0.01068606,0.006661203,0.5474672,0.398297],"study_design_scores_gemma":[0.0004809313,0.006520978,0.07167158,0.0003741889,0.00004937207,0.001075109,0.01754292,0.002050762,0.008286755,0.001960943,0.8898687,0.0001176405],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4064197,0.002078506,0.03454658,0.1082045,0.006269896,0.04545544,0.02994313,0.005763193,0.3613192],"genre_scores_gemma":[0.4813695,0.004574274,0.1064114,0.0166623,0.001299386,0.03881208,0.0187492,0.001026378,0.3310955],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02703336,"threshold_uncertainty_score":0.09043562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01204854191957347,"score_gpt":0.2871047056331801,"score_spread":0.2750561637136066,"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."}}