{"id":"W4414962579","doi":"10.22541/au.175993047.79126058/v1","title":"MEG Based Precision-Gain Index (PGI) Reveals Dual-task Costs in Vision and Audition","year":2025,"lang":"en","type":"preprint","venue":"","topic":"CCD and CMOS Imaging Sensors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"China Scholarship Council","keywords":"Perception; Sensory system; Magnetoencephalography; Index (typography); Pattern recognition (psychology); Measure (data warehouse)","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":[0.0003475297,0.0003473814,0.0002460484,0.0004838929,0.00008446681,0.0004128934,0.0001614346,0.0002726047,0.001327417],"category_scores_gemma":[0.003160739,0.0001614608,0.0001377973,0.000162681,0.0003132931,0.000401768,0.0005963529,0.0002704719,0.0001659503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001332974,"about_ca_system_score_gemma":0.00013865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008528133,"about_ca_topic_score_gemma":0.001134067,"domain_scores_codex":[0.9997904,0.00001520029,0.00002381609,0.00005847518,0.00007961465,0.00003248498],"domain_scores_gemma":[0.9992022,0.0002676876,0.0002384808,0.0001114932,0.00009548901,0.00008469004],"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":[0.002576569,0.0002612371,0.216385,0.0001585891,0.000108468,0.0005412572,0.0005677089,0.0007596657,0.7157148,0.0003592175,0.0003361047,0.06223143],"study_design_scores_gemma":[0.00001872796,0.0003806846,0.9782423,0.000004710084,0.00003192613,0.0005269106,0.000108049,0.001857574,0.01827951,0.0004106697,0.0001273239,0.00001146231],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982893,0.00003477982,0.001104215,0.00001613435,0.000002865856,0.00001143976,0.0001156918,0.00001781245,0.0004076968],"genre_scores_gemma":[0.998998,0.00002004037,0.0006648122,0.00001057107,0.000004337905,0.00001121559,0.00007885483,0.00000873529,0.0002033808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001327417,"threshold_uncertainty_score":0.004440665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006149306980958226,"score_gpt":0.2459603579572009,"score_spread":0.2398110509762427,"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."}}