{"id":"W3080582615","doi":"10.12688/f1000research.25620.3","title":"Journal editors: How do their editing incomes compare?","year":2021,"lang":"en","type":"preprint","venue":"F1000Research","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Remuneration; Publishing; Odds ratio; Medicine; Confidence interval; Medical education; Library science; Political science; Computer science; Internal medicine","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":["sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008182965,0.0002204526,0.0004646078,0.0003267085,0.001628229,0.003066539,0.002743106,0.000365078,0.001797918],"category_scores_gemma":[0.002395809,0.000199537,0.000264574,0.000443603,0.001033358,0.0003281897,0.002930651,0.003389322,0.00005245004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004680529,"about_ca_system_score_gemma":0.002050493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002418128,"about_ca_topic_score_gemma":0.0009000096,"domain_scores_codex":[0.9928067,0.001384255,0.0002393275,0.0004461172,0.004255322,0.0008683306],"domain_scores_gemma":[0.9967815,0.0005141995,0.0001739313,0.0004425936,0.001496276,0.0005914466],"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":[0.00001955923,0.000112526,0.02864827,0.0001924036,0.000209554,0.0004991589,0.05291931,0.00004886097,0.00003182347,0.0006313437,0.8903746,0.02631258],"study_design_scores_gemma":[0.0003116016,0.00003607506,0.002614761,0.0006901401,0.00003022081,0.000008927172,0.3792207,0.00006676669,0.00005772106,0.00237407,0.6143178,0.0002711902],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4575643,0.01166662,0.001995077,0.1813314,0.1244029,0.001890611,0.0002807782,0.0005811957,0.2202871],"genre_scores_gemma":[0.8977557,0.001837423,0.0003484569,0.0002765972,0.09462883,0.00001825624,0.00009022624,0.00003161745,0.005012833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4401914,"threshold_uncertainty_score":0.9996715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1003715017528561,"score_gpt":0.3807329316869233,"score_spread":0.2803614299340672,"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."}}