{"id":"W3202167803","doi":"10.38126/jspg180405","title":"Improving the Accessibility of Federal Graduate Research Awards in Canada","year":2021,"lang":"en","type":"article","venue":"Journal of Science Policy & Governance","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; McMaster University; University of Toronto","funders":"","keywords":"Agency (philosophy); Diversity (politics); Political science; Equity (law); Advisory committee; Action plan; Graduate research; Inclusion (mineral); Public relations; Medical education; Public administration; Psychology; Management; Sociology; Medicine; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01337965,0.0003032239,0.0007791073,0.003015517,0.02343533,0.009502335,0.004075919,0.002872462,0.0108338],"category_scores_gemma":[0.03316571,0.0007576394,0.0006660059,0.004253692,0.003111677,0.002008706,0.005930597,0.003657041,0.0009092665],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.2318559,"about_ca_system_score_gemma":0.5684201,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.996516,"about_ca_topic_score_gemma":0.9987312,"domain_scores_codex":[0.9753253,0.001984589,0.000712732,0.001336666,0.008945999,0.01169477],"domain_scores_gemma":[0.9399745,0.003906158,0.001562425,0.00126398,0.02623186,0.02706093],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000513176,0.0004563032,0.13784,0.0009913224,0.0001349541,0.001109782,0.0233258,0.002003961,0.00296762,0.1185462,0.4347148,0.2773961],"study_design_scores_gemma":[0.000145704,0.0002080828,0.2870635,0.0007943724,0.00007796663,0.0001823605,0.02206001,0.002527897,0.001225319,0.003861696,0.6815799,0.0002731037],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3686269,0.008090645,0.004600222,0.2934041,0.003236914,0.00161696,0.0078823,0.0007790732,0.3117628],"genre_scores_gemma":[0.8399197,0.004062399,0.005703652,0.03215875,0.0002683447,0.0004186757,0.001864188,0.0001259543,0.1154784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9866204,"threshold_uncertainty_score":0.8909383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.110689776863611,"score_gpt":0.4126504099543669,"score_spread":0.3019606330907558,"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."}}