{"id":"W2260590530","doi":"10.1007/s40617-016-0109-0","title":"Using Computer Tablets to Assess Preference for Videos in Children with Autism","year":2016,"lang":"en","type":"article","venue":"Behavior Analysis in Practice","topic":"Behavioral and Psychological Studies","field":"Psychology","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"Social Sciences and Humanities Research Council of Canada; Fonds de Recherche du Québec-Société et Culture","keywords":"Autism; Autism spectrum disorder; Preference; Sitting; Psychology; Schedule; Typically developing; Clinical psychology; Developmental psychology; Medicine; Computer science","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":[0.0006561305,0.0004527464,0.0002924097,0.00122588,0.0004256514,0.0005418339,0.0003323526,0.0005474741,0.001184526],"category_scores_gemma":[0.006645924,0.0002590281,0.0002982902,0.0003851266,0.0003648874,0.0004979825,0.0004965241,0.0006422707,0.0003169018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006273031,"about_ca_system_score_gemma":0.0003868782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009107201,"about_ca_topic_score_gemma":0.02156918,"domain_scores_codex":[0.9992842,0.000215186,0.00007620298,0.0001014173,0.0002201352,0.0001027845],"domain_scores_gemma":[0.9970582,0.001120661,0.0008602234,0.0001038507,0.0003748877,0.0004822885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005034285,0.002160068,0.9590035,0.00008641032,0.00003961091,0.0005908739,0.00401443,0.0001328666,0.008700483,0.00004096882,0.000286323,0.02444096],"study_design_scores_gemma":[0.00001757491,0.001188278,0.9929027,0.00001558131,0.00001783252,0.0008309666,0.003422924,0.0003490763,0.001018775,0.00002588363,0.0001965555,0.00001382629],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992514,0.00003115242,0.00005072664,0.00001336427,0.000001883124,0.00002071434,0.00002944783,0.000003873036,0.0005973483],"genre_scores_gemma":[0.9984412,0.0000995371,0.0006241756,0.00002451723,0.000002357105,0.00006429198,0.00008568541,0.000002856777,0.0006554896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009107201,"threshold_uncertainty_score":0.01810837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3708028767810543,"score_gpt":0.4452634541641039,"score_spread":0.07446057738304956,"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."}}