{"id":"W2999380416","doi":"10.1177/1550147719895960","title":"Spectrum-specific encephalography standardized low-resolution brain electromagnetic tomography network and gray matter correlations in vascular dementia patients","year":2020,"lang":"en","type":"article","venue":"International Journal of Distributed Sensor Networks","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dementia; Vascular dementia; Neuroimaging; Medicine; Electroencephalography; Magnetic resonance imaging; Cognition; Audiology; Neuroscience; Psychology; Psychiatry; Radiology; Internal medicine; Disease","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":[0.0001935314,0.0002289673,0.0001747173,0.0008783626,0.0002337475,0.0003304106,0.0001461452,0.0002423158,0.001641481],"category_scores_gemma":[0.001491022,0.0001190522,0.0001868219,0.0004432132,0.0001560413,0.0003019299,0.000252564,0.0002162983,0.0001482778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002055714,"about_ca_system_score_gemma":0.0001458635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00268758,"about_ca_topic_score_gemma":0.004018532,"domain_scores_codex":[0.999895,0.00002202871,0.00001671615,0.00003341074,0.00001490813,0.00001796617],"domain_scores_gemma":[0.9995968,0.00007073709,0.0001868935,0.00002543839,0.00005302523,0.00006720734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004489789,0.00007001477,0.9919045,0.00002339358,0.0001029954,0.0006509734,0.0001722144,0.0002043576,0.001582428,0.00009692836,0.0002131898,0.004529971],"study_design_scores_gemma":[0.000007398308,0.0000815368,0.9981529,0.000003616319,0.00003275763,0.000647985,0.00010706,0.000560359,0.0001689559,0.0001531626,0.00008114459,0.000003068776],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993775,0.0000896118,0.00007816521,0.00001997297,0.000002657253,0.000003516534,0.00009311223,0.000002796818,0.0003325887],"genre_scores_gemma":[0.9996619,0.0000305494,0.00005819947,0.000006727018,0.000003065378,0.000003255921,0.000122779,5.777388e-7,0.0001128678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00268758,"threshold_uncertainty_score":0.005491316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008888473482537306,"score_gpt":0.213667791658758,"score_spread":0.2047793181762207,"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."}}