{"id":"W4410368469","doi":"10.2196/70554","title":"Impact Factor Trends of Top Obstetrics and Gynecology Journals During COVID-19","year":2025,"lang":"en","type":"article","venue":"Interactive Journal of Medical Research","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","keywords":"Preprint; Coronavirus disease 2019 (COVID-19); Obstetrics and gynaecology; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Obstetrics; Medicine; Gynecology; Virology; Pregnancy; Biology; Internal medicine; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01302485,0.0004997537,0.000967555,0.0163338,0.001285438,0.006882226,0.00140345,0.001264336,0.01216226],"category_scores_gemma":[0.1157274,0.000319015,0.000993387,0.02621448,0.001025731,0.004581787,0.003026487,0.002085275,0.003481679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003649345,"about_ca_system_score_gemma":0.008829163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01328845,"about_ca_topic_score_gemma":0.01520556,"domain_scores_codex":[0.9838702,0.002666903,0.004513191,0.001201493,0.005811098,0.001937129],"domain_scores_gemma":[0.7140333,0.05578752,0.134406,0.006534975,0.05385042,0.03538782],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000601671,0.0001358274,0.9037754,0.001935184,0.0002865019,0.0002455954,0.001224164,0.0002875963,0.000815554,0.001347492,0.0324544,0.0568907],"study_design_scores_gemma":[0.00002470623,0.0001980341,0.9683008,0.0007644461,0.00005466825,0.0004511701,0.002252813,0.0002744027,0.0003764024,0.0004218564,0.02682453,0.0000561171],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7191455,0.05737288,0.001647095,0.07947996,0.005016039,0.0004981287,0.09558795,0.0007359359,0.04051656],"genre_scores_gemma":[0.9415946,0.01826525,0.002408472,0.006230276,0.005534854,0.0002424319,0.0212701,0.0001933228,0.004260689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9869751,"threshold_uncertainty_score":0.06888282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2845575532527705,"score_gpt":0.626473516978417,"score_spread":0.3419159637256465,"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."}}