{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03984886,0.001265107,0.001028302,0.002699025,0.0005127229,0.001794877,0.001973199,0.001881842,0.005458809],"category_scores_gemma":[0.1327191,0.0006014555,0.0009065437,0.001848793,0.001245376,0.001617595,0.001750613,0.002232188,0.001198073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009759552,"about_ca_system_score_gemma":0.001667836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001380567,"about_ca_topic_score_gemma":0.001876061,"domain_scores_codex":[0.9758507,0.01944387,0.001072428,0.001286282,0.002140168,0.0002064926],"domain_scores_gemma":[0.8256931,0.1509807,0.004936277,0.007622319,0.009169245,0.001598321],"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":[0.00202805,0.001667812,0.02110337,0.0009570261,0.0003467341,0.0006413547,0.00117926,0.01506373,0.006737718,0.00318214,0.01061819,0.9364746],"study_design_scores_gemma":[0.002303749,0.009445483,0.04846783,0.002129033,0.0003772133,0.003772869,0.002366184,0.7927851,0.03066285,0.07482474,0.0323942,0.0004707479],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1434807,0.004994541,0.8197722,0.009185855,0.0006051374,0.003262766,0.001152872,0.009553527,0.00799247],"genre_scores_gemma":[0.3216056,0.0009495068,0.6737885,0.0007275507,0.0001443552,0.001355719,0.0002832111,0.0002542849,0.0008912496],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03984886,"threshold_uncertainty_score":0.2107434,"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."}}