{"id":"W2781257385","doi":"10.1177/0145445517748560","title":"Using Mobile Technology to Reduce Engagement in Stereotypy: A Validation of Decision-Making Algorithms","year":2017,"lang":"en","type":"article","venue":"Behavior Modification","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Casey House; Université de Montréal","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Fonds de Recherche du Québec-Société et Culture; Brock University","keywords":"Stereotypy; Psychology; Autism; Psychological intervention; Autism spectrum disorder; Developmental psychology; Psychiatry; Neuroscience","routes":{"ca_aff":true,"ca_fund":true,"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":[0.006190088,0.0009792644,0.0003899777,0.0005050662,0.0003398322,0.0007657321,0.001163598,0.0006529621,0.001577958],"category_scores_gemma":[0.0295057,0.000329396,0.0005858238,0.0001418675,0.0006384097,0.0007782124,0.0009800568,0.0007655979,0.0003159748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004628491,"about_ca_system_score_gemma":0.000908975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00118579,"about_ca_topic_score_gemma":0.001467716,"domain_scores_codex":[0.99584,0.002070231,0.0004236577,0.0004702153,0.0009868927,0.0002091101],"domain_scores_gemma":[0.9857988,0.01039025,0.001094044,0.0007528084,0.001482281,0.0004818153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005702907,0.02814643,0.1379553,0.002097481,0.0003219602,0.0005322093,0.01524445,0.007312618,0.06131722,0.001427732,0.002404485,0.7375373],"study_design_scores_gemma":[0.004855879,0.1188793,0.5401829,0.002057562,0.001225698,0.001904966,0.008758773,0.09648442,0.1926232,0.003879925,0.02850648,0.0006408542],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985034,0.00008053279,0.01107447,0.0001428648,0.00003709848,0.001418025,0.00009644922,0.0002038058,0.00191272],"genre_scores_gemma":[0.9097058,0.0001957776,0.08534781,0.0001962429,0.00002007155,0.002911253,0.0001789586,0.00007067559,0.001373514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006190088,"threshold_uncertainty_score":0.03273672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1907497291530119,"score_gpt":0.4671785899328464,"score_spread":0.2764288607798345,"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."}}