{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2439912,0.002085487,0.003606446,0.01162974,0.007210126,0.03213238,0.006639069,0.02430803,0.005202372],"category_scores_gemma":[0.2804538,0.00139513,0.00202829,0.01223103,0.06287589,0.04147822,0.01838179,0.03063049,0.002380884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01702207,"about_ca_system_score_gemma":0.04420318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008170703,"about_ca_topic_score_gemma":0.005952928,"domain_scores_codex":[0.8068667,0.1145205,0.01659477,0.01972704,0.03713035,0.005160586],"domain_scores_gemma":[0.4253027,0.4760396,0.01385611,0.01971518,0.0552402,0.009846122],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001838834,0.0002285501,0.002725471,0.01386837,0.000162934,0.0005691536,0.02283774,0.001682875,0.0005642442,0.5225586,0.07516021,0.359458],"study_design_scores_gemma":[0.00005584373,0.0001892601,0.002245007,0.03043725,0.00007599086,0.0009307013,0.0168012,0.0009016504,0.0006932603,0.467831,0.4796191,0.0002196195],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.001798164,0.4653363,0.01338111,0.4981689,0.007348274,0.00005916036,0.0001548801,0.0001131977,0.01364],"genre_scores_gemma":[0.1234674,0.6577667,0.04709028,0.1405479,0.02613963,0.0005699603,0.0005340309,0.0004602308,0.003423792],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7560087,"threshold_uncertainty_score":0.9322934,"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."}}