{"id":"W2770001831","doi":"","title":"The Halifax Consciousness Scanner: A Rapid ERP Method for Clinical Applications","year":2014,"lang":"en","type":"article","venue":"eCite Digital Repository (University of Tasmania)","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Scanner; Consciousness; Psychology; Computer science; Artificial intelligence; Computer vision; Cognitive psychology; Neuroscience","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001097714,0.0005412566,0.0002911648,0.0009477237,0.000375768,0.0008022403,0.0005225487,0.0008285504,0.02392697],"category_scores_gemma":[0.001905979,0.0003452491,0.000215942,0.0005591835,0.0003078613,0.0008686354,0.0008988275,0.0006106205,0.004058888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001965234,"about_ca_system_score_gemma":0.0009195927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001895703,"about_ca_topic_score_gemma":0.005556666,"domain_scores_codex":[0.9998307,0.00006014797,0.00001556528,0.00003589165,0.00004248137,0.00001519296],"domain_scores_gemma":[0.9993794,0.0003270313,0.00002183229,0.00005458533,0.0001758724,0.00004133242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001997903,0.0001718212,0.005234416,0.000732337,0.00007544832,0.002067146,0.0003927626,0.0005897789,0.2444243,0.003102623,0.0472854,0.6939262],"study_design_scores_gemma":[0.003741633,0.004968421,0.2667443,0.0007997454,0.000832328,0.05742943,0.001539858,0.03349534,0.3186486,0.02028189,0.2907824,0.0007360282],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1962898,0.007248473,0.6974247,0.004108633,0.0007543307,0.004349418,0.01243848,0.0131158,0.06427031],"genre_scores_gemma":[0.3880242,0.003629545,0.5560544,0.002826146,0.0004917728,0.002938094,0.003521532,0.002909175,0.03960511],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02392697,"threshold_uncertainty_score":0.08004367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03120725394233445,"score_gpt":0.2884607302259506,"score_spread":0.2572534762836162,"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."}}