{"id":"W4220935930","doi":"10.1016/j.neuroimage.2022.119056","title":"Good scientific practice in EEG and MEG research: Progress and perspectives","year":2022,"lang":"en","type":"article","venue":"NeuroImage","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mila - Quebec Artificial Intelligence Institute; Université du Québec à Montréal; University of British Columbia; Google (Canada); Okanagan University College; University of British Columbia, Okanagan Campus","funders":"National Institute of Biomedical Imaging and Bioengineering; University of British Columbia; National Institute of Mental Health; AXA Research Fund; John Templeton Foundation; Erasmus Universiteit Rotterdam; Russian Foundation for Basic Research; Agence Nationale de la Recherche; National Institutes of Health; British Academy; Alan Turing Institute","keywords":"Scrutiny; Competence (human resources); Engineering ethics; Computer science; Work (physics); Data science; Psychology; Knowledge management; Public relations; Political science; Social psychology","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":[0.001207732,0.00009761073,0.0001036803,0.0002964376,0.0007057166,0.0005550956,0.0003030981,0.00001599068,0.00003032128],"category_scores_gemma":[0.001293628,0.00009448829,0.00001513264,0.0007127012,0.0008204831,0.0004954499,0.0008713677,0.0006167024,0.000006789344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002919769,"about_ca_system_score_gemma":0.00004444092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000156884,"about_ca_topic_score_gemma":0.000005980746,"domain_scores_codex":[0.9971489,0.001026799,0.0001285791,0.0008014165,0.0005542036,0.0003400956],"domain_scores_gemma":[0.9985138,0.001054788,0.00004828427,0.0002580475,0.00005119576,0.00007395548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002835623,0.001333377,0.004410527,0.00008740073,0.000006435246,0.002073597,0.05320687,0.00002973927,0.8888946,0.01584016,0.005851457,0.02798231],"study_design_scores_gemma":[0.004185001,0.004167021,0.1149693,0.0001050683,0.00002908639,0.003796397,0.0494692,0.01078701,0.1739375,0.005321412,0.6318914,0.001341577],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861359,0.0009320694,0.000002488113,0.006822956,0.0002324989,0.0003073028,0.0000145408,0.00005150641,0.005500719],"genre_scores_gemma":[0.9984382,0.00004410046,0.0001863046,0.0003045399,0.00002211899,0.0000376138,4.05244e-7,0.00001452848,0.0009522249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.714957,"threshold_uncertainty_score":0.5427873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.117445698221675,"score_gpt":0.3776677641394989,"score_spread":0.2602220659178239,"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."}}