{"id":"W4380318204","doi":"10.1145/3596251","title":"Eggly","year":2023,"lang":"en","type":"article","venue":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Psychology; Session (web analytics); Autism; Personalization; Autism spectrum disorder; Intervention (counseling); Autistic spectrum disorder; Neurofeedback; Applied psychology; Multimedia; Computer science; Developmental psychology; Electroencephalography; World Wide Web","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":[0.0008874362,0.0008248609,0.0005104856,0.001390304,0.0009624848,0.002730734,0.001435242,0.001360417,0.4337499],"category_scores_gemma":[0.003769999,0.0004135947,0.0005120636,0.0007996895,0.0004765683,0.002557829,0.002955892,0.001214209,0.236794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005882044,"about_ca_system_score_gemma":0.001170634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002086739,"about_ca_topic_score_gemma":0.004244615,"domain_scores_codex":[0.9991643,0.0001131841,0.00005243898,0.000192517,0.0003861508,0.00009144603],"domain_scores_gemma":[0.9984884,0.0003124911,0.00009006217,0.000262149,0.0005342807,0.0003124303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004171217,0.0001235703,0.002041694,0.0005489491,0.00002357593,0.0004073142,0.0006638162,0.0003751742,0.005601152,0.02781976,0.5854223,0.3765554],"study_design_scores_gemma":[0.00002032847,0.00004409379,0.0007460261,0.00007327177,0.000006867827,0.0002572529,0.00008591848,0.0003804497,0.0009406591,0.002399495,0.9950318,0.00001397394],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.007812065,0.001481802,0.04369927,0.002937334,0.002198079,0.0005548138,0.0141824,0.03158522,0.8955489],"genre_scores_gemma":[0.04205596,0.001310047,0.03711205,0.002280942,0.0003133657,0.0004903792,0.01754452,0.00854302,0.8903497],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4337499,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02791651624190707,"score_gpt":0.3037528754766272,"score_spread":0.2758363592347202,"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."}}