{"id":"W1979246170","doi":"10.1016/s1053-8119(03)00403-8","title":"Determination of activation areas in the human auditory cortex by means of synthetic aperture magnetometry","year":2003,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":127,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Baycrest Hospital","funders":"Canadian Institutes of Health Research","keywords":"Magnetometer; Transient (computer programming); Auditory cortex; Neuroscience; Waveform; Steady state (chemistry); Magnetoencephalography; Nuclear magnetic resonance; Physics; Chemistry; Electroencephalography; Computer science; Biology; Magnetic field; Voltage","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003624772,0.000263291,0.0001986579,0.0004104389,0.0001665146,0.0003201239,0.0001347464,0.0004225532,0.0007986675],"category_scores_gemma":[0.001417017,0.00019146,0.0002044459,0.0002177769,0.0004150176,0.0004005657,0.0002557949,0.0002084048,0.0001882969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008372973,"about_ca_system_score_gemma":0.0001750552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003777356,"about_ca_topic_score_gemma":0.0005366169,"domain_scores_codex":[0.9999005,0.0000353291,0.000004643753,0.00002506095,0.00002005142,0.00001445315],"domain_scores_gemma":[0.9997581,0.0001318184,0.00002759518,0.00002194391,0.00003891415,0.00002150624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006182891,0.00003152187,0.003154112,0.0001369424,0.00004959705,0.00008215645,0.0001973759,0.0009624708,0.9370742,0.0009179561,0.0002346727,0.05654062],"study_design_scores_gemma":[0.0003713013,0.00150364,0.3469794,0.00005388511,0.0003651358,0.005921524,0.0005394361,0.08117898,0.549169,0.008872436,0.00495185,0.00009343147],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.827408,0.001051389,0.1686538,0.0003250536,0.00003764007,0.0000650475,0.0001913373,0.000229786,0.00203791],"genre_scores_gemma":[0.9388126,0.0004161668,0.05979523,0.00007621798,0.00003890726,0.00004266318,0.0001205155,0.0000390665,0.0006584693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007986675,"threshold_uncertainty_score":0.002671838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02766596720149243,"score_gpt":0.2834312902527595,"score_spread":0.255765323051267,"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."}}