{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01173384,0.00005144224,0.0001696665,0.00008303969,0.000695596,0.0001441154,0.00177107,0.0000224379,0.00002882726],"category_scores_gemma":[0.01105976,0.00003655824,0.00004689059,0.002610293,0.002487154,0.0007158252,0.0002735694,0.0004868195,5.713554e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002192441,"about_ca_system_score_gemma":0.04152874,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9641245,"about_ca_topic_score_gemma":0.9248706,"domain_scores_codex":[0.9944644,0.0002749795,0.0003253219,0.0001491046,0.004325522,0.0004606912],"domain_scores_gemma":[0.9973826,0.0002801635,0.0004798268,0.0001885632,0.001502189,0.0001666211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001646155,0.0002998455,0.6100423,0.0001350375,0.0000337343,0.0006736967,0.08767501,0.0004724137,0.01689661,0.07488627,0.01944789,0.1892726],"study_design_scores_gemma":[0.0004328945,0.00005959012,0.8932668,0.0001899984,0.000005546384,0.00001781903,0.09076907,0.00009674821,0.005698585,0.00359095,0.005773601,0.00009842065],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9671017,0.000266715,0.000012392,0.02474105,0.0004825543,0.00004801986,0.000006396115,0.000001052484,0.007340119],"genre_scores_gemma":[0.9983765,0.0003540747,0.00007594491,0.0005481587,0.0003023697,3.529012e-7,3.26525e-8,0.000001678689,0.0003408826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2832245,"threshold_uncertainty_score":0.9972705,"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."}}