{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002306951,0.0001053355,0.00009434234,0.00006667474,0.00003615816,0.00002082058,0.00007533247,0.00004520182,0.00001702733],"category_scores_gemma":[0.00001791315,0.0001124526,0.00002593089,0.0002371157,0.00002551748,0.0001323475,0.00001368559,0.0001071838,0.000007151691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005469255,"about_ca_system_score_gemma":0.000001268814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002282162,"about_ca_topic_score_gemma":0.000001139432,"domain_scores_codex":[0.9993869,0.000006333189,0.0001548001,0.0001732696,0.0001071486,0.0001715307],"domain_scores_gemma":[0.9998055,0.00001769967,0.00002200901,0.00006747874,0.00001610108,0.00007126918],"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":[0.00001076532,0.000005451567,0.0003196867,0.00002097593,0.00001440484,0.000001579358,0.0001103012,0.002676904,0.9915808,0.00004472534,0.00008978638,0.005124604],"study_design_scores_gemma":[0.0001490187,0.00005917198,0.004414558,0.000009071755,0.00001685926,0.000003613434,0.0001061673,0.01139872,0.9824624,0.0002122202,0.00100674,0.0001614667],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.957792,0.00009601711,0.04111506,0.000167566,0.00003112325,0.0001513884,0.000004891114,0.0005923478,0.00004954901],"genre_scores_gemma":[0.9982789,0.00002928468,0.001515235,0.00008537021,0.00005599138,0.00001115751,0.000005736232,0.0000170276,0.000001280022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04048686,"threshold_uncertainty_score":0.4585684,"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."}}