{"id":"W4282983914","doi":"10.1002/jha2.470","title":"Gender disparities in multiple myeloma publications","year":2022,"lang":"en","type":"article","venue":"eJHaem","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Multiple myeloma; Medicine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.005899701,0.0001587555,0.0003624715,0.005578743,0.0009143605,0.001889712,0.0003970106,0.0003238521,0.007992708],"category_scores_gemma":[0.03588272,0.0001316462,0.000353364,0.009094838,0.0003546317,0.001963881,0.00133636,0.0003936829,0.0008451781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006078155,"about_ca_system_score_gemma":0.001656129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001553209,"about_ca_topic_score_gemma":0.003054745,"domain_scores_codex":[0.9941978,0.002033731,0.001079971,0.0005776096,0.001550148,0.0005607778],"domain_scores_gemma":[0.9423206,0.02050494,0.02557216,0.001660831,0.005653683,0.004287722],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001280481,0.00007887452,0.9430005,0.0006434909,0.0001649489,0.0003240901,0.00405399,0.00005701968,0.0004190453,0.001768289,0.005061407,0.04430024],"study_design_scores_gemma":[0.00001687569,0.0001130585,0.9733825,0.0007615883,0.00007854355,0.001132599,0.006046051,0.0001236003,0.0002558855,0.001646259,0.01642166,0.0000212446],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9583675,0.01818848,0.0006790565,0.005456383,0.0003263874,0.00006607139,0.004043784,0.00002429009,0.01284807],"genre_scores_gemma":[0.991864,0.004851816,0.000430671,0.0005747515,0.0003455038,0.00004378702,0.0006732197,0.0000123815,0.001203921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9944212,"threshold_uncertainty_score":0.03120095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08493747201237097,"score_gpt":0.2977631526795357,"score_spread":0.2128256806671648,"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."}}