{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001833687,0.0001839274,0.00022754,0.0003577829,0.0002667691,0.00008717105,0.002176766,0.0001167029,0.00001584859],"category_scores_gemma":[0.004910367,0.0001241864,0.00007762481,0.00118471,0.0005205016,0.0003010707,0.002992348,0.0005519316,0.00009720521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004909905,"about_ca_system_score_gemma":0.00001938766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000119911,"about_ca_topic_score_gemma":9.649748e-7,"domain_scores_codex":[0.9984658,0.0000114471,0.000203656,0.0005020652,0.0003756213,0.0004414479],"domain_scores_gemma":[0.9988438,0.0004069362,0.00017189,0.0005111503,0.00004148823,0.00002475895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00014216,0.0001070649,0.00183091,0.00008276997,0.00001473197,0.00000369943,0.0005237873,0.00001208314,0.9553857,0.01615858,0.003575822,0.02216265],"study_design_scores_gemma":[0.0001555733,0.0003739304,0.001137535,0.0001451466,0.000003948485,0.00001056169,0.00260318,0.0001176826,0.888824,0.1045678,0.001938656,0.000121966],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9794543,0.0001019258,3.62323e-7,0.008720073,0.000118129,0.0005710687,0.000009099437,0.0009782178,0.01004684],"genre_scores_gemma":[0.9972042,0.001120202,0.00003789095,0.0000818092,0.0000122681,0.0003112575,1.191527e-7,0.00002580454,0.001206395],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08840918,"threshold_uncertainty_score":0.5878523,"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."}}