{"id":"W4417117312","doi":"10.1111/psyp.70187","title":"<scp>ARTEM</scp> ‐ <scp>IS</scp> for <scp>ERP</scp> : Agreed Reporting Template for <scp>EEG</scp> Methodology—International Standard for Event‐Related Potential Experiments","year":2025,"lang":"en","type":"article","venue":"Psychophysiology","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital","funders":"Leeds Biomedical Research Centre; Agencia Estatal de Investigación; Biotechnology and Biological Sciences Research Council; Directorate for Biological Sciences; European Cooperation in Science and Technology; Science Fund of the Republic of Serbia; Deutsche Forschungsgemeinschaft; Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja; UK Research and Innovation; National Research Foundation; National Research Foundation Singapore; National Institute for Health and Care Research","keywords":"Metadata; Workflow; Field (mathematics); Grassroots; Preprocessor; JSON; Documentation; Best practice","routes":{"ca_aff":true,"ca_fund":false,"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":["metaresearch","metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00292178,0.001258515,0.002079142,0.0009435322,0.001654787,0.000215348,0.001470351,0.0009638484,0.00001884192],"category_scores_gemma":[0.1334133,0.001289685,0.001491,0.001023471,0.0007429866,0.0006023361,0.0006790174,0.0008516447,0.00008847162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000436506,"about_ca_system_score_gemma":0.0004121089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003785558,"about_ca_topic_score_gemma":0.00001806922,"domain_scores_codex":[0.9891601,0.0008934486,0.003011712,0.003604102,0.0009272016,0.002403441],"domain_scores_gemma":[0.9381219,0.0562769,0.003034627,0.001113708,0.001105945,0.0003469106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002002559,0.0005321408,0.0005278865,0.0002400479,0.001111295,0.00002574519,0.001502248,0.000802841,0.7151481,0.001730136,0.2772073,0.0009719923],"study_design_scores_gemma":[0.01250532,0.002892539,0.00746391,0.0002301864,0.000519592,0.0001491344,0.004174472,0.007897737,0.4744428,0.09851076,0.3909615,0.0002521462],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8444219,0.0008710285,0.1147316,0.002590229,0.02231622,0.006444599,0.001862929,0.0007818895,0.005979614],"genre_scores_gemma":[0.8740889,0.0003669005,0.03090458,0.01501211,0.002708799,0.008508171,0.0007669819,0.0005307359,0.06711282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2407053,"threshold_uncertainty_score":0.9996449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08563029054522514,"score_gpt":0.3850188972432307,"score_spread":0.2993886066980056,"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."}}