{"id":"W3131282401","doi":"10.1158/1538-7445.sabcs20-ps7-17","title":"Abstract PS7-17: Exploring global clinical trial enrollment opportunities in high breast cancer mortality regions","year":2021,"lang":"en","type":"article","venue":"Cancer Research","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Breast cancer; Clinical trial; Cancer; Incidence (geometry); Mortality rate; Cancer registry; Demography; Internal medicine; Oncology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.3337059,0.0008804124,0.002056098,0.004441345,0.001326136,0.007592707,0.00296167,0.00237305,0.01778288],"category_scores_gemma":[0.4297335,0.0007338063,0.005082624,0.008524237,0.002952115,0.009537474,0.008963766,0.003224051,0.001750543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003172772,"about_ca_system_score_gemma":0.0168417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001280349,"about_ca_topic_score_gemma":0.00236833,"domain_scores_codex":[0.6323851,0.3222262,0.02421259,0.00895052,0.007478361,0.004747114],"domain_scores_gemma":[0.4321348,0.3960741,0.102998,0.02482062,0.02934322,0.01462931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.06063576,0.001684974,0.4499318,0.04321941,0.02329519,0.0007054378,0.006776331,0.007761403,0.001347997,0.02534791,0.04825429,0.3310395],"study_design_scores_gemma":[0.05402144,0.02547748,0.5432322,0.04675443,0.03256791,0.002068086,0.01272855,0.01916377,0.003606664,0.06537935,0.194179,0.0008210922],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6301134,0.0895438,0.06329586,0.06928954,0.002053658,0.04275518,0.05799919,0.001486332,0.04346301],"genre_scores_gemma":[0.9080639,0.005392242,0.03518427,0.01049292,0.0005620496,0.02994933,0.008953865,0.0003739141,0.001027465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3337059,"threshold_uncertainty_score":0.8216593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8244581893782873,"score_gpt":0.5944368311054251,"score_spread":0.2300213582728622,"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."}}