{"id":"W2895116770","doi":"10.1016/j.ijpsycho.2018.07.355","title":"Long-range temporal correlation of intrinsic alpha oscillation predicts consistency of internally guided decision-making","year":2018,"lang":"en","type":"article","venue":"International Journal of Psychophysiology","topic":"Shape Memory Alloy Transformations","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Shape-memory alloy; Nickel titanium; Materials science; Texture (cosmology); Grain size; Microstructure; Oscillation (cell signaling); Deformation (meteorology); SMA*; Consistency (knowledge bases); Twist; Grain boundary; Range (aeronautics); Condensed matter physics; Geometry; Metallurgy; Composite material; Physics; Mathematics; Artificial intelligence; Computer science; Chemistry; Algorithm","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005496513,0.0002131957,0.0002146171,0.000266915,0.0001054391,0.0007445489,0.0002060583,0.0003165419,0.001460489],"category_scores_gemma":[0.008814475,0.0002982606,0.0001217773,0.0002929086,0.0002401485,0.0003405352,0.0003777364,0.0005136516,0.0002375888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001149128,"about_ca_system_score_gemma":0.0001785896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007926385,"about_ca_topic_score_gemma":0.001412804,"domain_scores_codex":[0.9997997,0.00003776499,0.00001584168,0.00006286569,0.00005469392,0.00002919669],"domain_scores_gemma":[0.9964933,0.002052117,0.0008082767,0.0002827084,0.0001623041,0.0002014047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003199409,0.0007823597,0.5993192,0.0001306643,0.0005282381,0.0001753316,0.00149269,0.003743721,0.3345097,0.0009671781,0.001063098,0.05408841],"study_design_scores_gemma":[0.00001531471,0.0001087398,0.9932138,0.000004488253,0.00002682351,0.00006357755,0.0000757665,0.003499147,0.002320301,0.0005772487,0.00008550604,0.000009341574],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977817,0.00003669181,0.001303289,0.00002809939,0.00001054188,0.000008275382,0.00009972897,0.00001637334,0.0007152055],"genre_scores_gemma":[0.9990932,0.00002680215,0.0004528847,0.000019138,0.000006552252,0.00000839765,0.0001332682,0.00001571033,0.0002442132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001460489,"threshold_uncertainty_score":0.004885852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02002292282744514,"score_gpt":0.3262014106228864,"score_spread":0.3061784877954413,"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."}}