{"id":"W4285393211","doi":"10.1186/s41073-022-00124-y","title":"Correction: Characteristics of ‘mega’ peer-reviewers","year":2022,"lang":"en","type":"erratum","venue":"Research Integrity and Peer Review","topic":"Delphi Technique in Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; St. Michael's Hospital; University of Ottawa; Ottawa Public Health; University of Toronto; McGill University; Institute for Work & Health; Ottawa Hospital","funders":"","keywords":"Mega-; Computer science; Peer review; Information retrieval; Library science; Political science; Physics; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["metaresearch"],"domain":"evaluation","study_design":"not_applicable","genre":"editorial","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["metaresearch"],"domain":"evaluation","study_design":"not_applicable","genre":"editorial","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.07627618,0.0003340057,0.00143403,0.0005289738,0.001233196,0.0002547402,0.001946379,0.0007441907,0.01588217],"category_scores_gemma":[0.0930514,0.0003086169,0.0003893071,0.002224591,0.001849673,0.0001940527,0.00102413,0.01428942,0.0001057139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007368953,"about_ca_system_score_gemma":0.00432285,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009795533,"about_ca_topic_score_gemma":0.001013603,"domain_scores_codex":[0.9780976,0.006801805,0.001062524,0.000762812,0.01222409,0.001051143],"domain_scores_gemma":[0.9848223,0.002291836,0.0004444537,0.001041855,0.0108897,0.0005098222],"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":[0.00001012701,0.00007755429,0.00004152237,0.008713983,0.00003673188,0.00003134344,0.0004372912,2.593598e-9,4.52268e-7,0.003205119,0.8747287,0.1127171],"study_design_scores_gemma":[0.00004295937,0.0001627521,0.00009312796,0.01369456,0.00005040116,0.00001351761,0.0006805927,0.000005179073,0.000001292755,0.0007176122,0.9842725,0.000265506],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000003833826,0.2850667,0.00001326318,0.1406567,0.02076826,0.002949537,0.0005526582,0.0001138297,0.5498752],"genre_scores_gemma":[0.00004557864,0.4956273,0.00004988104,0.0002092178,0.000907696,0.0003148048,0.0004118058,0.00002894645,0.5024048],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2105606,"threshold_uncertainty_score":0.9999366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3677572237548847,"score_gpt":0.5524705717150645,"score_spread":0.1847133479601798,"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."}}