{"id":"W4362576192","doi":"10.5539/mas.v17n1p28","title":"An Intelligent Technique to Predict the Autism Spectrum Disorder Using Big Data Platform","year":2023,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Autism; Autism spectrum disorder; Computer science; Task (project management); Feature (linguistics); Association (psychology); Correlation; Big data; Association rule learning; Artificial intelligence; Machine learning; Data mining; Psychology; Developmental psychology; Mathematics","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":[0.002550525,0.001357262,0.001002795,0.005326506,0.0008335559,0.00125892,0.001282646,0.001222563,0.001029199],"category_scores_gemma":[0.007831042,0.0003416864,0.001392679,0.002673549,0.0003751542,0.001468041,0.0008939323,0.001497937,0.0007422271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005184314,"about_ca_system_score_gemma":0.001226885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005517782,"about_ca_topic_score_gemma":0.005951616,"domain_scores_codex":[0.9987178,0.0002632596,0.0001688722,0.0003300869,0.0004117658,0.0001082047],"domain_scores_gemma":[0.9956743,0.002256971,0.0005640892,0.0003740209,0.0009678244,0.0001628078],"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":[0.0005130791,0.0008727743,0.1094151,0.0003388,0.0006680705,0.0005617485,0.0003333154,0.1358784,0.008605246,0.003439022,0.009665045,0.7297094],"study_design_scores_gemma":[0.00002361996,0.0001252799,0.009763618,0.00003833269,0.00007343306,0.0002452306,0.0001229662,0.9789699,0.003809946,0.00449844,0.002303371,0.00002586448],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1238665,0.001073104,0.8642796,0.001400224,0.0003229375,0.0005422832,0.002074002,0.004367625,0.002073721],"genre_scores_gemma":[0.4448381,0.0004055781,0.5490655,0.0002824901,0.0001532517,0.0004598005,0.003359832,0.00008289509,0.001352483],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005517782,"threshold_uncertainty_score":0.01348865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1549845713633609,"score_gpt":0.3611338477089429,"score_spread":0.2061492763455819,"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."}}