{"id":"W4391880301","doi":"10.1017/s1049096523001105","title":"Effects of the COVID-19 Pandemic on Submissions to <i>Politics &amp; Gender</i>","year":2024,"lang":"en","type":"article","venue":"PS Political Science & Politics","topic":"Gender Politics and Representation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Scholarship; Politics; Flexibility (engineering); Pandemic; Coronavirus disease 2019 (COVID-19); Political science; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Field (mathematics); Gender studies; Public relations; Sociology; Medicine; Law; Management; Virology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01469357,0.0003779694,0.0004209238,0.001338401,0.01020263,0.006492758,0.0009899051,0.003189562,0.0310212],"category_scores_gemma":[0.04449783,0.0003514247,0.0006181882,0.001419986,0.004820309,0.003842942,0.008803591,0.00598569,0.003388915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005059782,"about_ca_system_score_gemma":0.006977401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03681652,"about_ca_topic_score_gemma":0.05508108,"domain_scores_codex":[0.9855632,0.006985903,0.0004327624,0.000588724,0.002105804,0.004323686],"domain_scores_gemma":[0.9605403,0.01013528,0.004985534,0.001277239,0.005616265,0.01744539],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001771302,0.001004727,0.1492565,0.0003871172,0.00007841321,0.003379983,0.09478071,0.000428132,0.0009764975,0.03901069,0.6121907,0.09673522],"study_design_scores_gemma":[0.0001754696,0.000761432,0.2814331,0.0008332754,0.00003928451,0.000824354,0.2369553,0.0003738091,0.0006793751,0.006994984,0.4707511,0.0001784733],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5660727,0.002698672,0.000352406,0.2693122,0.01239106,0.0001935401,0.002196199,0.0002011034,0.1465821],"genre_scores_gemma":[0.9343717,0.001215451,0.0002662797,0.03991758,0.002803874,0.0001752953,0.0006882082,0.0001679597,0.0203936],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9986616,"threshold_uncertainty_score":0.1037763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1020598546183058,"score_gpt":0.4280122757344664,"score_spread":0.3259524211161606,"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."}}