{"id":"W6903432911","doi":"10.12751/g-node.8zxj27","title":"EEGManyLabs - Replication Processed Dataset - Eimer1996","year":2025,"lang":"en","type":"dataset","venue":"German Neuroinformatics Node","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Replication (statistics); Scripting language; DNA replication","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008597078,0.001197647,0.001109875,0.001197762,0.0004387171,0.0007405873,0.003338713,0.0006392821,0.0003570406],"category_scores_gemma":[0.00141825,0.001252966,0.0002161485,0.001437689,0.0002225778,0.001750093,0.001327151,0.001713205,0.01061497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002409552,"about_ca_system_score_gemma":0.0008262345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001224941,"about_ca_topic_score_gemma":0.0000566054,"domain_scores_codex":[0.9939144,0.0001533366,0.00228603,0.001113203,0.001416845,0.001116171],"domain_scores_gemma":[0.9852638,0.0002715579,0.002066212,0.01175358,0.0003014322,0.0003434348],"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":[0.00005355911,0.0001610109,8.115333e-7,0.003950753,0.0001179924,0.00003752582,0.0000661005,0.00005915299,0.0000451601,0.00003302337,0.9952381,0.0002367879],"study_design_scores_gemma":[0.000717312,0.00005658297,0.00002343529,0.0003580815,0.0005810356,0.00010479,0.00001420766,0.002576879,0.0002020226,0.0000492834,0.9942663,0.001050065],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004505645,0.00009483387,0.0000372903,0.0002705481,0.0005955668,0.001634783,0.9956251,0.0004959891,0.00120082],"genre_scores_gemma":[0.000007702999,0.000283562,0.0004614072,0.004164458,0.0002060248,0.0002397418,0.9941491,0.00009850103,0.0003894894],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01064038,"threshold_uncertainty_score":0.998992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01983165658899589,"score_gpt":0.3247989552021238,"score_spread":0.3049672986131279,"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."}}