{"id":"W1989152391","doi":"10.1353/scp.2004.0030","title":"Why Copy Editors Matter","year":2004,"lang":"en","type":"article","venue":"Journal of Scholarly Publishing","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Publishing; Computer science; Quality (philosophy); Process (computing); Library science; Political science; Law; Philosophy; Epistemology; Programming language","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","bibliometrics","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch","bibliometrics","scholarly_communication"],"category_scores_codex":[0.06278511,0.0001426468,0.0003769251,0.06294875,0.0003123223,0.2270146,0.005972061,0.0002428754,0.001207147],"category_scores_gemma":[0.1628785,0.00009163632,0.0003095893,0.1045736,0.00009981791,0.1487791,0.0007029858,0.002302704,0.0004361742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003760492,"about_ca_system_score_gemma":0.0006094606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001170859,"about_ca_topic_score_gemma":0.000004864782,"domain_scores_codex":[0.9772671,0.0002357772,0.001435112,0.0003737762,0.02010784,0.0005804017],"domain_scores_gemma":[0.9756066,0.002156376,0.001151166,0.0005655471,0.01959367,0.0009266805],"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":[0.00001872205,0.00008861729,0.1633076,0.000001830974,0.00001845918,0.00006997185,0.0001322388,0.0001204977,0.0008719123,0.0003853515,0.8261366,0.008848165],"study_design_scores_gemma":[0.001374299,0.000259915,0.1150364,0.00004693572,0.000009755914,0.0002529035,0.0007802689,0.0000197545,0.001254681,0.05006132,0.8307111,0.0001927373],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7399759,0.001867356,0.02744741,0.1876856,0.01788654,0.0001514059,0.0000166052,0.00002106909,0.02494804],"genre_scores_gemma":[0.9728379,0.00007627319,0.01062899,0.008525103,0.006857269,0.000001129498,9.218384e-7,0.00002264645,0.001049749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.232862,"threshold_uncertainty_score":0.999999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3940466698594513,"score_gpt":0.506418899806929,"score_spread":0.1123722299474777,"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."}}