{"id":"W2107027233","doi":"10.1007/978-1-4612-1260-7_35","title":"143 Channel Whole-Cortex MEG System","year":2000,"lang":"en","type":"book-chapter","venue":"","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Squid; Electroencephalography; Shielded cable; Magnetoencephalography; Channel (broadcasting); Neuroscience; Cortex (anatomy); Brain cortex; Computer science; Psychology; Telecommunications; Medicine; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00009535901,0.0005260977,0.0005352111,0.0002081819,0.0001413477,0.0001734737,0.0007917141,0.0003703834,0.001279769],"category_scores_gemma":[0.00001007126,0.0004254261,0.0002501661,0.00003826679,0.0001291708,0.0001331136,0.0001701486,0.0004620187,0.006318834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007471858,"about_ca_system_score_gemma":0.00004721122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000172215,"about_ca_topic_score_gemma":0.00000817527,"domain_scores_codex":[0.9976024,0.00003239671,0.0004665194,0.0009971454,0.0004907821,0.000410774],"domain_scores_gemma":[0.998805,0.0001554626,0.0001841886,0.0006602276,0.00003486053,0.0001602142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009345043,0.00009457958,0.00000104317,0.0006421875,0.0001038176,0.001252525,0.0006302295,0.0000962398,0.0198379,0.8363222,0.116298,0.02462779],"study_design_scores_gemma":[0.0003068568,0.0001841675,0.000003785481,0.000801574,0.000041272,0.0003883145,0.00002183027,0.001415622,0.01659762,0.004196685,0.9751431,0.0008991681],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002597678,0.000170557,0.000270871,0.0002867641,0.001307057,0.0003529241,0.00009795975,0.000629245,0.9966248],"genre_scores_gemma":[0.08619919,0.0000622975,0.00004552592,0.001618166,0.0005774137,0.000009987248,0.00000967519,0.00009352963,0.9113842],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8588451,"threshold_uncertainty_score":0.9998198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03223010880670456,"score_gpt":0.2374149230514802,"score_spread":0.2051848142447756,"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."}}