{"id":"W3159605412","doi":"10.7759/cureus.14644","title":"Gender Disparity in Grants and Awards at the National Institute of Health","year":2021,"lang":"en","type":"article","venue":"Cureus","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver General Hospital","funders":"National Institutes of Health","keywords":"Medicine; Career development; Medical education; Portfolio; Grant funding; Library science; Political science; Public administration","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"],"consensus_categories":[],"category_scores_codex":[0.007143591,0.0001478624,0.0003387028,0.002023905,0.0006486956,0.0009056135,0.0004630496,0.0002507511,0.006276659],"category_scores_gemma":[0.02747426,0.0001038105,0.0002807426,0.002791422,0.000380793,0.0008817213,0.001415689,0.0004882479,0.0008253704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009222803,"about_ca_system_score_gemma":0.001451778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007997476,"about_ca_topic_score_gemma":0.01170375,"domain_scores_codex":[0.991203,0.003098578,0.0008274652,0.0008562526,0.002431722,0.001582949],"domain_scores_gemma":[0.9895005,0.003692203,0.003454142,0.0004328861,0.001440145,0.001480163],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002839392,0.00006998591,0.9106939,0.0002994816,0.0001085613,0.000230986,0.006373846,0.0001433082,0.0003690667,0.005716871,0.02259447,0.05311549],"study_design_scores_gemma":[0.000009911749,0.00007473383,0.972392,0.0003900832,0.00003711626,0.0003209644,0.00499703,0.0001516552,0.0002354204,0.001174995,0.0202009,0.00001515657],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9333719,0.00552952,0.001178382,0.008795778,0.0004913397,0.0001384838,0.01351865,0.00004579822,0.03693012],"genre_scores_gemma":[0.9935868,0.001526913,0.0004063701,0.0007021909,0.0001186849,0.0001436386,0.001597156,0.00001691411,0.001901424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9928564,"threshold_uncertainty_score":0.03777933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1051985533622247,"score_gpt":0.3660781145826327,"score_spread":0.260879561220408,"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."}}