{"id":"W4367852986","doi":"10.3897/ese.2023.e101121","title":"The role of ChatGPT in scholarly editing and publishing","year":2023,"lang":"en","type":"article","venue":"European Science Editing","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Publishing; Scholarly communication; History; Political science; Library science; Computer science; 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":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.007838281,0.00005298972,0.00007783419,0.0002393653,0.0005078486,0.000550906,0.0002159246,0.0000176241,0.000003971353],"category_scores_gemma":[0.01270742,0.0000401463,0.00001495292,0.001440037,0.0003231296,0.001735232,0.0001335348,0.0003080844,0.00003204793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004089085,"about_ca_system_score_gemma":0.0001512539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001788715,"about_ca_topic_score_gemma":0.00002693753,"domain_scores_codex":[0.9986206,0.00007620249,0.0003321505,0.0002139105,0.0004153,0.0003418147],"domain_scores_gemma":[0.9989944,0.0003386481,0.0001220306,0.0001651909,0.0002733857,0.000106359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000005188985,0.00001088738,0.2062947,0.00002318723,0.000001271889,0.00001123328,0.01073144,0.000009746267,0.01731487,0.001543759,0.0004538618,0.7635998],"study_design_scores_gemma":[0.0001168623,0.0002008789,0.6434565,0.001106275,0.00001070926,0.00004799011,0.2460749,0.01622483,0.05763708,0.004184152,0.0307167,0.0002231782],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9707369,0.0002234639,0.00001010386,0.004345941,0.001066161,0.0001034708,5.886115e-7,0.00004652986,0.02346688],"genre_scores_gemma":[0.9975768,0.00005327964,0.000133031,0.0001292085,0.002019661,0.000002416989,0.000001683324,0.000008911764,0.0000749737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7633767,"threshold_uncertainty_score":0.995609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1083968879704684,"score_gpt":0.3820668773903225,"score_spread":0.273669989419854,"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."}}