{"id":"W2514389873","doi":"10.1145/2955097","title":"Detection of Subconscious Face Recognition Using Consumer-Grade Brain-Computer Interfaces","year":2016,"lang":"en","type":"article","venue":"ACM Transactions on Applied Perception","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Subconscious; Face (sociological concept); Psychology; Set (abstract data type); Artificial intelligence; Computer science; Pattern recognition (psychology); Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004412548,0.0003246487,0.0002240924,0.0003207588,0.0001110727,0.0003648187,0.0002883716,0.0003936699,0.002225885],"category_scores_gemma":[0.002986562,0.0001023769,0.000117295,0.0001712301,0.0001888387,0.0004547334,0.0002857475,0.0002919081,0.0003397585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001698645,"about_ca_system_score_gemma":0.0002030088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000918264,"about_ca_topic_score_gemma":0.002083288,"domain_scores_codex":[0.999674,0.00006105244,0.00002208084,0.00007486982,0.0001183531,0.00004978467],"domain_scores_gemma":[0.9989005,0.0005952657,0.0001401268,0.0001200078,0.0001793272,0.00006468481],"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":[0.001671182,0.0006341575,0.05415168,0.0003816915,0.0001086192,0.000377172,0.000495953,0.001883512,0.6818519,0.0008879367,0.001141206,0.2564151],"study_design_scores_gemma":[0.00009468354,0.00228792,0.5462458,0.00002633124,0.0001514868,0.002028929,0.0002652236,0.0855929,0.3594173,0.002008842,0.001807233,0.00007332196],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9727798,0.0001319197,0.02457379,0.00009460568,0.00002277706,0.0001029577,0.0001332881,0.0002168946,0.001944025],"genre_scores_gemma":[0.9862462,0.00006444365,0.01284776,0.0000716865,0.000009463859,0.00003272227,0.0001074121,0.00001472242,0.0006057239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002225885,"threshold_uncertainty_score":0.007446289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05241515143584247,"score_gpt":0.2831869025920566,"score_spread":0.2307717511562141,"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."}}