{"id":"W3187854590","doi":"10.1177/01454455211038208","title":"Machine Learning to Support Visual Inspection of Data: A Clinical Application","year":2021,"lang":"en","type":"article","venue":"Behavior Modification","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Autism spectrum disorder; Visual inspection; Inter-rater reliability; Psychology; Applied behavior analysis; Machine learning; Autism; Artificial intelligence; Developmental psychology; Computer science; Rating scale","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005737427,0.000104195,0.0001748215,0.0001323384,0.0001501504,0.00004252888,0.0004261675,0.00008764814,0.00009399725],"category_scores_gemma":[0.000611475,0.000117174,0.00004760076,0.0007479059,0.00008172035,0.0003288105,0.0002951648,0.0003018272,0.0002633381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005880641,"about_ca_system_score_gemma":0.0001466857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001103369,"about_ca_topic_score_gemma":0.00005761813,"domain_scores_codex":[0.9977036,0.0002938875,0.0005117563,0.0007980653,0.0004805714,0.0002121755],"domain_scores_gemma":[0.9986981,0.0001095478,0.0001832515,0.0008396616,0.00005776293,0.0001116955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00005445162,0.001233404,0.06386269,0.0000151916,0.0000025555,0.000009493226,0.000190416,0.0000470115,0.7578941,0.007372064,0.00006798482,0.1692507],"study_design_scores_gemma":[0.0009264722,0.0005551911,0.5646882,0.00001243627,0.00007251079,0.0000513568,0.0001333017,0.04988263,0.3737029,0.0003370688,0.009283216,0.000354732],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9566947,0.00002309707,0.04054929,0.00110573,0.000116476,0.0007015707,0.00006474854,0.0001947018,0.0005496665],"genre_scores_gemma":[0.9982805,0.00008761005,0.0006211688,0.0000589641,0.00005254531,0.0001518394,0.0003855348,0.00002540067,0.0003364657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5008255,"threshold_uncertainty_score":0.4778216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.234815773636597,"score_gpt":0.4789763912956723,"score_spread":0.2441606176590752,"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."}}