{"id":"W4414380054","doi":"10.1093/cercor/bhaf254","title":"The role of etiology in the identification of clinical markers of consciousness: comparing EEG alpha power, complexity, and spectral exponent","year":2025,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal General Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec – Nature et technologies; European Commission","keywords":"Electroencephalography; Alpha (finance); Identification (biology); Etiology; SIGNAL (programming language); Pattern recognition (psychology); Consciousness; Set (abstract data type)","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":[0.001833433,0.000543565,0.0005850198,0.002036973,0.0002372841,0.001284758,0.0002534054,0.000330519,0.001111749],"category_scores_gemma":[0.01202027,0.00009933273,0.0003291015,0.001053808,0.0004472319,0.0009720016,0.0008534563,0.0003535126,0.0002452436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001366152,"about_ca_system_score_gemma":0.0002317945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005944595,"about_ca_topic_score_gemma":0.0008349495,"domain_scores_codex":[0.9992804,0.0002731063,0.0001501324,0.0001455438,0.00009295556,0.00005799573],"domain_scores_gemma":[0.9947608,0.002710798,0.001201927,0.0006534419,0.0003849218,0.0002880486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009348288,0.0000632662,0.9608501,0.00007763135,0.0003504194,0.0003342397,0.000347697,0.0008285461,0.004742592,0.000303047,0.0002144045,0.03095329],"study_design_scores_gemma":[0.00001392993,0.0001321466,0.9944052,0.00001981602,0.00007052685,0.000483003,0.0002638739,0.002501376,0.0007302767,0.001142553,0.0002238231,0.00001350122],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940447,0.0007937244,0.003884744,0.00009199249,0.00001673192,0.00002767085,0.0003965351,0.0000241603,0.0007198068],"genre_scores_gemma":[0.998623,0.0001517599,0.0008503502,0.0000141645,0.00002080262,0.000009683096,0.0002601973,0.000009371245,0.00006055255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002036973,"threshold_uncertainty_score":0.009696245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0454034451074358,"score_gpt":0.3375549252728759,"score_spread":0.2921514801654401,"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."}}