{"id":"W4309400080","doi":"10.1111/amet.13106","title":"Gendered disruptions in academic publishing during COVID‐19","year":2022,"lang":"en","type":"article","venue":"American Ethnologist","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; University of British Columbia","funders":"","keywords":"Publishing; Coronavirus disease 2019 (COVID-19); Phenomenon; Productivity; Sociology; Service (business); Work (physics); Pandemic; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Set (abstract data type); 2019-20 coronavirus outbreak; Peer review; Qualitative property; Public relations; Media studies; Political science; Business; Marketing; Economics; Epistemology; Medicine; Law; Economic growth","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","sts"],"domain":"incentives","study_design":"qualitative","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["metaresearch","scholarly_communication"],"domain":"incentives","study_design":"qualitative","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001655583,0.00007819282,0.000149835,0.0001872088,0.002043025,0.0001007462,0.0007378815,0.00006801356,0.0006083343],"category_scores_gemma":[0.002021842,0.00009529285,0.00005402816,0.001260305,0.001196861,0.0004741744,0.0004911463,0.00097728,0.00001787169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008640737,"about_ca_system_score_gemma":0.0003301248,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09626807,"about_ca_topic_score_gemma":0.01150461,"domain_scores_codex":[0.9977887,0.0007717713,0.0001833264,0.0003104592,0.0004211467,0.0005246163],"domain_scores_gemma":[0.9992684,0.0001564976,0.000153285,0.0001964942,0.00002182321,0.0002035065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004943864,0.0001404827,0.7642792,0.00001531581,0.00002645197,0.0000750601,0.1722248,0.001409728,0.0002717285,0.04978712,0.004790222,0.00693047],"study_design_scores_gemma":[0.0003463572,0.00003908606,0.1783893,0.000001461728,0.000006863566,0.00000287745,0.7323661,0.00001938722,0.00001023952,0.003475386,0.08512419,0.0002187161],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9411565,0.0001113921,0.0001340033,0.04402729,0.0001813652,0.0001463232,0.00005458666,0.0002221811,0.01396638],"genre_scores_gemma":[0.9970468,0.0001587322,0.0001080472,0.001751951,0.00005216039,0.00003089748,0.00001637512,0.000005027348,0.0008300357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5858899,"threshold_uncertainty_score":0.9992562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.226723561196816,"score_gpt":0.3912951512438383,"score_spread":0.1645715900470223,"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."}}