{"id":"W3186420077","doi":"10.1093/neuonc/noab172","title":"SNO 2020 diversity survey: defining demographics, racial biases, career success metrics and a path forward for the field of neuro-oncology","year":2021,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"National Institute of Neurological Disorders and Stroke; National Institutes of Health","keywords":"Mentorship; Diversity (politics); Ethnic group; Oncology; Clinical Oncology; Medicine; Internal medicine; Medical education; Psychology; Political science; Cancer","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":[0.004687723,0.0002083987,0.0002275346,0.002195501,0.0009563258,0.0009121643,0.0006926717,0.0005120077,0.002453725],"category_scores_gemma":[0.007236023,0.0001796967,0.0003022435,0.001854045,0.0003591396,0.001213719,0.002187926,0.0006614254,0.001059726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0012084,"about_ca_system_score_gemma":0.002534155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01345765,"about_ca_topic_score_gemma":0.0334934,"domain_scores_codex":[0.9985227,0.0004454688,0.0002434236,0.00009956717,0.0004595311,0.0002293269],"domain_scores_gemma":[0.9933863,0.0006774547,0.002507864,0.0001884713,0.001886242,0.001353629],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005894836,0.00009619399,0.982448,0.00007072737,0.00001520017,0.00003006406,0.0009806183,0.00006487635,0.0001127768,0.0001323921,0.0081145,0.007875722],"study_design_scores_gemma":[0.00001140641,0.0001372507,0.984755,0.0001088866,0.00000717074,0.00009896571,0.003494274,0.0002514883,0.0001183956,0.0001485112,0.01085698,0.00001158279],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9686882,0.0003485912,0.000643105,0.002082187,0.00005558104,0.0006190658,0.01664222,0.00004058833,0.01088055],"genre_scores_gemma":[0.972937,0.0006197225,0.003618301,0.00105158,0.00005829523,0.001734313,0.0170403,0.00002987809,0.002910505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9953123,"threshold_uncertainty_score":0.02675867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.062953334179413,"score_gpt":0.3405927057444302,"score_spread":0.2776393715650172,"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."}}