{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003464776,0.0001983232,0.0003042301,0.0001654478,0.0003395952,0.00009045314,0.0002633984,0.0000635992,0.000002154956],"category_scores_gemma":[0.001311259,0.0001258448,0.00004689829,0.0003332514,0.00008993663,0.0003034798,0.0001482457,0.00008717355,0.00004960102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001881069,"about_ca_system_score_gemma":0.0001480483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001453944,"about_ca_topic_score_gemma":0.000002779937,"domain_scores_codex":[0.9983453,0.00004770959,0.0005038912,0.0004572264,0.0003437468,0.0003021109],"domain_scores_gemma":[0.9986395,0.0005319751,0.0001954249,0.0001359761,0.0004176546,0.0000794165],"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":[0.00004720481,0.00001984131,0.001376133,0.00034097,0.00001476007,0.00001442243,0.005916237,0.000008534933,0.9854468,0.002693928,0.00004160171,0.004079582],"study_design_scores_gemma":[0.0003883405,0.0001222552,0.002184274,0.002482358,0.00001060015,0.0001254472,0.003132107,0.00166665,0.9895154,0.00001007614,0.000149458,0.0002130122],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918693,0.000005232526,0.003959878,0.0002078168,0.0002483702,0.0007423391,0.000009087985,0.0003105989,0.002647383],"genre_scores_gemma":[0.9873611,1.666368e-7,0.01214211,0.00006607969,0.00005588218,0.00003034067,1.629878e-7,0.00002334929,0.0003207727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008182227,"threshold_uncertainty_score":0.5131802,"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."}}