{"id":"W4380684955","doi":"10.3389/fnins.2023.1190310","title":"An integrated full-head OPM-MEG system based on 128 zero-field sensors","year":2023,"lang":"en","type":"article","venue":"Frontiers in Neuroscience","topic":"Atomic and Subatomic Physics Research","field":"Physics and Astronomy","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"Surrey Memorial Hospital; Simon Fraser University; Fraser Health","funders":"National Institute of Mental Health","keywords":"Magnetoencephalography; Computer science; Bandwidth (computing); Linearity; Crosstalk; Electronic engineering; Engineering; Telecommunications; Electroencephalography; Medicine","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":[0.0004117179,0.0003835972,0.0003974116,0.0003451341,0.0001411158,0.0003359561,0.0006529338,0.0004488762,0.006484905],"category_scores_gemma":[0.0007130994,0.0002922158,0.0001768598,0.0003046589,0.0002596608,0.0006806066,0.001206112,0.0002938742,0.001181744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000174751,"about_ca_system_score_gemma":0.0004211329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004784154,"about_ca_topic_score_gemma":0.001322313,"domain_scores_codex":[0.9998013,0.00003983371,0.00001450558,0.00006878948,0.00006038962,0.00001513305],"domain_scores_gemma":[0.9998214,0.00004501637,0.00002402366,0.00003988465,0.00004632953,0.00002329395],"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":[0.001079248,0.0001148292,0.008521174,0.0005725144,0.0001540127,0.0004484653,0.0002125996,0.002045804,0.7030362,0.001874354,0.007175048,0.2747657],"study_design_scores_gemma":[0.0007879061,0.004258415,0.1380382,0.0002975224,0.0009466674,0.01294077,0.0005354612,0.1207685,0.5897896,0.009787683,0.1214914,0.0003578842],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3995953,0.001385205,0.5733614,0.001214434,0.0004515303,0.0008111622,0.004633061,0.004618353,0.01392958],"genre_scores_gemma":[0.7357789,0.0004045487,0.2530469,0.000842161,0.0001458645,0.0005465886,0.001650802,0.0001242463,0.007460045],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006484905,"threshold_uncertainty_score":0.02169412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01998193749024066,"score_gpt":0.2933869601943065,"score_spread":0.2734050227040659,"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."}}