{"id":"W2566066099","doi":"10.2196/iproc.6030","title":"Prototype Development of a Responsive Emotive Sensing System (DRESS): System Operations Testing Outcomes","year":2016,"lang":"en","type":"article","venue":"Iproceedings","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Emotive; Gerontechnology; Coaching; Wearable computer; Context (archaeology); Computer science; Clothing; Wearable technology; Usability; Human–computer interaction; Applied psychology; Psychology; Process management; Engineering; Embedded system; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006568172,0.000747469,0.0004569115,0.0005613813,0.0003328866,0.0008523819,0.00107616,0.0005993985,0.003793919],"category_scores_gemma":[0.01414859,0.0003637536,0.0004363236,0.0002386639,0.0005827375,0.001426082,0.001009166,0.000627235,0.001438009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004266202,"about_ca_system_score_gemma":0.0006985269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008087087,"about_ca_topic_score_gemma":0.0006825296,"domain_scores_codex":[0.9981651,0.0005986979,0.0002584503,0.0002629528,0.0006007864,0.0001140449],"domain_scores_gemma":[0.9911384,0.002898714,0.000354561,0.00109282,0.00407481,0.0004405884],"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":[0.00593296,0.009678808,0.07616483,0.002515883,0.000387755,0.002025223,0.01254802,0.0124092,0.2825667,0.001763221,0.01575656,0.5782508],"study_design_scores_gemma":[0.002704894,0.1503269,0.2644252,0.0007019852,0.0009560519,0.005153405,0.005133596,0.1374117,0.3674336,0.001312918,0.06395353,0.000486206],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9311813,0.0001379181,0.05864656,0.0001967986,0.00016104,0.003384336,0.0005539855,0.002529537,0.003208521],"genre_scores_gemma":[0.8785837,0.0001670231,0.111253,0.0001589065,0.00004557631,0.002085399,0.001234795,0.0003193303,0.006152281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006568172,"threshold_uncertainty_score":0.03473628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05626283499205117,"score_gpt":0.284765270959333,"score_spread":0.2285024359672818,"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."}}