{"id":"W3108812410","doi":"10.18280/ts.370512","title":"Odor and Subject Identification Using Electroencephalography Reaction to Olfactory","year":2020,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Odor; Electroencephalography; Olfaction; Olfactory system; Brain activity and meditation; Human brain; Computer science; Artificial intelligence; Audiology; Pattern recognition (psychology); Psychology; Neuroscience; 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":[0.0001830548,0.00031543,0.0002160555,0.0003621824,0.00007068341,0.0002512816,0.00006321943,0.0002144166,0.0008487517],"category_scores_gemma":[0.000727689,0.00005667487,0.00017563,0.000219267,0.0001763119,0.0001974032,0.0001970283,0.0001247673,0.0001302758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003960096,"about_ca_system_score_gemma":0.0000728959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005001094,"about_ca_topic_score_gemma":0.0005255761,"domain_scores_codex":[0.9998296,0.00004038266,0.00001371762,0.0000467649,0.00005098892,0.00001846552],"domain_scores_gemma":[0.9998552,0.00006057259,0.00003074874,0.000009817,0.00002942667,0.00001417947],"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":[0.001818653,0.0002188056,0.1123426,0.0005851777,0.0002541632,0.0008588519,0.0009096297,0.002076264,0.6741213,0.0002629977,0.000594077,0.2059574],"study_design_scores_gemma":[0.00005784503,0.001685239,0.8634938,0.00004663613,0.0002412503,0.002578103,0.0007542573,0.02283975,0.1064397,0.0005495674,0.001261501,0.00005234038],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9811323,0.000417175,0.01632659,0.00004093225,0.00003475589,0.00006897467,0.0002166305,0.00009447052,0.001668257],"genre_scores_gemma":[0.9961234,0.0002744502,0.002965963,0.00002374264,0.00002405474,0.00002145993,0.000117855,0.000007446057,0.0004415467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008487517,"threshold_uncertainty_score":0.002839327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02839762133222967,"score_gpt":0.2207907433140686,"score_spread":0.1923931219818389,"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."}}