{"id":"W4391722944","doi":"10.1111/soc4.13189","title":"The gender citation gap: Approaches, explanations, and implications","year":2024,"lang":"en","type":"article","venue":"Sociology Compass","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Citation; Sociology; Gender gap; Social science; Political science; Demographic economics; Economics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.02200944,0.0008034459,0.001264749,0.00980414,0.002199528,0.004911179,0.002680467,0.002669473,0.007590721],"category_scores_gemma":[0.05420758,0.0002919952,0.000792331,0.00821951,0.008210971,0.009019845,0.004242636,0.001862918,0.0006663415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003614893,"about_ca_system_score_gemma":0.003161917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006546958,"about_ca_topic_score_gemma":0.004795888,"domain_scores_codex":[0.9921555,0.003563631,0.0004511117,0.001315002,0.001801593,0.0007132708],"domain_scores_gemma":[0.937161,0.04866064,0.007094258,0.001651097,0.004394471,0.001038541],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002873052,0.0001751749,0.1421815,0.002328364,0.0002741696,0.0007971203,0.01841001,0.0009077124,0.000448523,0.6676684,0.01258695,0.1539348],"study_design_scores_gemma":[0.00004487379,0.0001359506,0.1061372,0.002414274,0.0002142688,0.0007256733,0.02923732,0.003053279,0.0006592671,0.8273809,0.02991535,0.00008178818],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2851736,0.1867995,0.04436205,0.3907315,0.003316751,0.0002263395,0.001327892,0.0002377596,0.08782451],"genre_scores_gemma":[0.9626307,0.0197981,0.004712852,0.007422628,0.00243836,0.0001452078,0.0001624717,0.00004346565,0.002646255],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9901959,"threshold_uncertainty_score":0.1163985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8431052284939669,"score_gpt":0.5924655245783323,"score_spread":0.2506397039156345,"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."}}