{"id":"W2290912787","doi":"","title":"Toward Brain-based Gaming: MeasuringEngagement During Gameplay","year":2015,"lang":"en","type":"article","venue":"","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Psychology; Human–computer interaction; Communication","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":[0.0002781622,0.0006459786,0.0002603976,0.0005582992,0.0002605017,0.001256188,0.0002993836,0.0005533891,0.002068258],"category_scores_gemma":[0.001740032,0.0002040891,0.0001933684,0.0006227868,0.0002819222,0.0004721448,0.0005478682,0.0004667392,0.0006689187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001739519,"about_ca_system_score_gemma":0.0002260829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002335591,"about_ca_topic_score_gemma":0.005611832,"domain_scores_codex":[0.9996513,0.0000802521,0.00001801887,0.00009156593,0.00011239,0.00004653316],"domain_scores_gemma":[0.9996718,0.0001204044,0.00005956528,0.00001514015,0.00007599794,0.00005708911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002894768,0.001057263,0.1457445,0.001031055,0.0004278667,0.0003910289,0.003093124,0.001980658,0.6233083,0.001527959,0.002971048,0.2155725],"study_design_scores_gemma":[0.00009238931,0.001490723,0.9396497,0.00009739085,0.0002669453,0.001439565,0.0008897462,0.009077722,0.04240918,0.001400466,0.003113068,0.00007299861],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9648591,0.0006289708,0.02373115,0.0001239223,0.00008116299,0.0004685752,0.001217281,0.0002209492,0.008668873],"genre_scores_gemma":[0.9747161,0.0009314558,0.01933577,0.0002900956,0.00007073384,0.0004206336,0.0006489235,0.00007510358,0.003511304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002335591,"threshold_uncertainty_score":0.006918967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1359631651450986,"score_gpt":0.2942583139166056,"score_spread":0.158295148771507,"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."}}