{"id":"W3112146983","doi":"10.1109/smc42975.2020.9283465","title":"Validity Testing the NeuLog Galvanic Skin Response Device","year":2020,"lang":"en","type":"article","venue":"","topic":"Heart Rate Variability and Autonomic Control","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Research and Development","keywords":"Skin conductance; Computer science; Response time; Simulation; Biomedical engineering; Medicine","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":[0.01680337,0.0004619021,0.0004041997,0.001059756,0.0005811484,0.001053013,0.001063999,0.0008868669,0.001807361],"category_scores_gemma":[0.05430201,0.0002334528,0.000705342,0.0005142265,0.00133834,0.0009988501,0.001412259,0.0006300444,0.001338055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006840771,"about_ca_system_score_gemma":0.0009246044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009846236,"about_ca_topic_score_gemma":0.001149391,"domain_scores_codex":[0.9730687,0.01454946,0.002218709,0.002070888,0.007520811,0.0005714532],"domain_scores_gemma":[0.9442019,0.03268805,0.003135668,0.005099161,0.01443776,0.0004374787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004636345,0.0009682156,0.5402845,0.001164714,0.0003988413,0.0006340588,0.004815982,0.003287141,0.09369379,0.006944995,0.003525636,0.3396458],"study_design_scores_gemma":[0.0005458673,0.02078126,0.6515417,0.001119934,0.0005866335,0.005218975,0.004423105,0.04350365,0.2183885,0.004792456,0.04878319,0.0003147533],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8416489,0.001218828,0.1219854,0.0008713445,0.000902227,0.001850473,0.001007306,0.0004355535,0.03007999],"genre_scores_gemma":[0.9590854,0.0002555632,0.03557736,0.0005286602,0.0001529241,0.0006985323,0.0005618121,0.00009936017,0.003040282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01680337,"threshold_uncertainty_score":0.08886576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1292127303134826,"score_gpt":0.3022294995521378,"score_spread":0.1730167692386552,"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."}}