{"id":"W4200100570","doi":"10.1200/go.21.00345","title":"Clinical Oncology Workload in Sri Lanka: Infrastructure, Supports, and Delivery of Clinical Care","year":2021,"lang":"en","type":"article","venue":"JCO Global Oncology","topic":"Advances in Oncology and Radiotherapy","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Workload; Clinical Oncology; MEDLINE; Patient care; Clinical research","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":[],"consensus_categories":[],"category_scores_codex":[0.001233465,0.0002564985,0.0001943254,0.0009694785,0.001858599,0.002240431,0.0009175783,0.0004176077,0.005461411],"category_scores_gemma":[0.005015498,0.0002547107,0.0001975778,0.001630816,0.0009831899,0.0009904744,0.002630838,0.0007441623,0.0005950947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00328648,"about_ca_system_score_gemma":0.01344241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04520375,"about_ca_topic_score_gemma":0.05070452,"domain_scores_codex":[0.9977812,0.0007494764,0.0002007648,0.0001188461,0.0002617131,0.0008880607],"domain_scores_gemma":[0.9941812,0.00087362,0.001922067,0.0001146314,0.0005502406,0.00235819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005604003,0.0001449532,0.9218079,0.0009127865,0.00006529206,0.001764217,0.01549203,0.000462893,0.0009886408,0.001022707,0.009940848,0.04734173],"study_design_scores_gemma":[0.0000136241,0.0002117166,0.9290625,0.000570358,0.00003292617,0.001041122,0.05588443,0.0002485892,0.0001508636,0.0003172541,0.01242948,0.00003705984],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9694298,0.00237398,0.0002430969,0.009787998,0.00006476123,0.00009473594,0.0005135452,0.00004686219,0.01744523],"genre_scores_gemma":[0.9961606,0.001841392,0.0002885478,0.0008259512,0.00005162485,0.00005163116,0.0002621791,0.000006947469,0.0005109857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04520375,"threshold_uncertainty_score":0.08988124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0373441738957293,"score_gpt":0.4974744781146193,"score_spread":0.46013030421889,"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."}}