{"id":"W2025259679","doi":"10.1007/s10548-012-0238-x","title":"Conventional and Reciprocal Approaches to the Inverse Dipole Localization Problem for N20–P20 Somatosensory Evoked Potentials","year":2012,"lang":"en","type":"article","venue":"Brain Topography","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital; Université de Montréal; Polytechnique Montréal","funders":"Canadian Institutes of Health Research","keywords":"Dipole; Inverse problem; Somatosensory evoked potential; Reciprocal; Computer science; Inverse; Position (finance); Physics; Nuclear magnetic resonance; Mathematics; Mathematical analysis; Neuroscience; Psychology; Geometry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004895348,0.0001622553,0.0001493127,0.0001525995,0.0003180291,0.0001149677,0.0002264943,0.00007260498,0.00002032715],"category_scores_gemma":[0.000169915,0.0001182005,0.000127821,0.0003475251,0.0002066108,0.0002581977,0.0001021617,0.000083833,0.00002351547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008882504,"about_ca_system_score_gemma":0.00001506837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006882447,"about_ca_topic_score_gemma":0.00001152813,"domain_scores_codex":[0.9986195,0.0001895912,0.0002398888,0.0003604481,0.000221284,0.000369275],"domain_scores_gemma":[0.9991502,0.0003877147,0.00009041723,0.0001965369,0.00002802598,0.000147133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006521887,0.00176383,0.0414553,0.0008225719,0.0002553257,0.000006342751,0.01419796,0.001978864,0.1884974,0.2951801,0.4104136,0.04477653],"study_design_scores_gemma":[0.002676168,0.000641813,0.01152153,0.0001896617,0.0001076804,0.000134639,0.00135736,0.02205995,0.283781,0.02838617,0.6479599,0.001184121],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7546469,0.0006150966,0.2170277,0.01996182,0.001333414,0.003552922,0.0001249495,0.0003260832,0.002411095],"genre_scores_gemma":[0.9903079,0.000009244421,0.003714707,0.004790209,0.0003048712,0.0001755564,0.00001292433,0.00002315061,0.0006614885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.266794,"threshold_uncertainty_score":0.4820077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08949012729263094,"score_gpt":0.2660684138189706,"score_spread":0.1765782865263396,"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."}}