{"id":"W705340","doi":"10.20982/tqmp.01.1.p018","title":"Statistical analysis of the mismatch negativity: To a dilemma, an answer","year":2005,"lang":"en","type":"article","venue":"Tutorials in Quantitative Methods for Psychology","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dilemma; Negativity effect; Mismatch negativity; Statistical analysis; Psychology; Statistics; Econometrics; Mathematics; Social psychology; Electroencephalography; Neuroscience","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00249081,0.000147869,0.0005261482,0.000431496,0.00009613278,0.00002344965,0.0003758747,0.00008639396,0.00009101312],"category_scores_gemma":[0.007051646,0.0001100614,0.0001483471,0.001980341,0.0003923512,0.0001945441,0.00005479178,0.000140258,0.00000959767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000411722,"about_ca_system_score_gemma":0.00004914188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003208007,"about_ca_topic_score_gemma":0.0001001543,"domain_scores_codex":[0.9960721,0.002211402,0.000491212,0.000687658,0.0001986342,0.0003389886],"domain_scores_gemma":[0.9964396,0.002707866,0.0001658881,0.0005118003,0.0000843497,0.00009046074],"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":[0.0002643366,0.0002771741,0.0006766895,0.000005426023,0.00001480975,8.906925e-7,0.001491395,0.0002292664,0.9185586,0.05832078,0.0002127752,0.01994784],"study_design_scores_gemma":[0.002462042,0.00325229,0.5071743,0.00003463995,0.0007129936,0.0000150732,0.0003423034,0.01261012,0.362049,0.04548565,0.06516115,0.0007004423],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6251234,0.000002845637,0.3716391,0.0007561589,0.001645999,0.0004998751,0.00008455256,0.00001397226,0.0002341631],"genre_scores_gemma":[0.597989,0.000006332635,0.3986749,0.00298424,0.0001534039,0.0001078914,0.000002604096,0.00001287367,0.00006873237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5565096,"threshold_uncertainty_score":0.8441989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2242274827140874,"score_gpt":0.5612380338198943,"score_spread":0.337010551105807,"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."}}