{"id":"W4405043549","doi":"10.1182/blood-2024-194613","title":"Disparities in Clinical Trial Enrollment for Patients with Hematologic Malignancies - a 15-Year Princess Margaret Cancer Centre Experience","year":2024,"lang":"en","type":"article","venue":"Blood","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"","keywords":"Hematologic Neoplasms; Medicine; Hematologic malignancy; Cancer; Gerontology; Clinical trial; Internal medicine; Family medicine; Oncology","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":[0.002823432,0.0001131265,0.0003545205,0.0005853572,0.001645467,0.001486551,0.0005752802,0.0005338625,0.002604815],"category_scores_gemma":[0.009555396,0.0002795961,0.0003936414,0.002090045,0.0007599682,0.0008853906,0.001999753,0.001036901,0.0001522792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007078154,"about_ca_system_score_gemma":0.01152478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.173898,"about_ca_topic_score_gemma":0.2907241,"domain_scores_codex":[0.9971306,0.0007248382,0.0003656415,0.0003841647,0.0006375587,0.0007572183],"domain_scores_gemma":[0.9858642,0.001764817,0.006510151,0.0003188,0.0007766847,0.0047653],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002522914,0.0001168111,0.9897396,0.00005230089,0.00004528782,0.0001641594,0.001946253,0.00008629788,0.0001086781,0.0001464041,0.001658423,0.005683574],"study_design_scores_gemma":[0.00003592767,0.0001903665,0.9961816,0.00005874383,0.00001903139,0.0001875796,0.001520318,0.0001949069,0.00003991398,0.00004906709,0.001510789,0.00001183391],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956746,0.0006143727,0.00004170415,0.0019379,0.00001053275,0.00006317638,0.0005572695,0.000005107947,0.001095373],"genre_scores_gemma":[0.9987192,0.0002327133,0.00006418789,0.0003954226,0.00001876283,0.00004283047,0.0003131834,0.000002242765,0.0002113423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9971766,"threshold_uncertainty_score":0.3457717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0159557728265411,"score_gpt":0.293704180142369,"score_spread":0.2777484073158279,"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."}}