{"id":"W2938891809","doi":"10.4103/ijmpo.ijmpo_66_18","title":"Medical oncology in India: Workload, infrastructure, and delivery of care","year":2019,"lang":"en","type":"article","venue":"Indian Journal of Medical and Paediatric Oncology","topic":"Economic and Financial Impacts of Cancer","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kingston General Hospital; Queen's University","funders":"","keywords":"Medicine; Workload; Family medicine; Global health; Snowball sampling; Health care; Pediatric oncology; Cancer; Internal medicine; Public health; Nursing; Pathology","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":[0.0005605282,0.0001382909,0.000112624,0.001032079,0.0005841291,0.001187024,0.0005763628,0.0002015037,0.002514848],"category_scores_gemma":[0.004390616,0.0001535167,0.0001747307,0.002782447,0.0004733426,0.0005473324,0.001486587,0.0004073255,0.0003783411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001598074,"about_ca_system_score_gemma":0.003014519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0349128,"about_ca_topic_score_gemma":0.03017338,"domain_scores_codex":[0.9987094,0.0003904325,0.000103932,0.00008657396,0.0002285737,0.0004810213],"domain_scores_gemma":[0.9953983,0.0008413178,0.001860521,0.0001398702,0.0005116793,0.001248354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002780323,0.00003779843,0.9850467,0.00007975652,0.00002029911,0.0002216811,0.00173409,0.0002651638,0.0001652381,0.000263275,0.002061761,0.01007636],"study_design_scores_gemma":[0.000001809106,0.00002944822,0.9939404,0.00003256368,0.000005746998,0.0001880371,0.004403251,0.0001916495,0.00004740347,0.00007488408,0.001079338,0.000005628729],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918054,0.0003548141,0.0001005489,0.002081696,0.00002003302,0.00001654518,0.0007104409,0.00001825745,0.004892353],"genre_scores_gemma":[0.9992682,0.0002168568,0.00005587644,0.0001179939,0.00001877979,0.000008257424,0.0001653429,0.000002824532,0.000145838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0349128,"threshold_uncertainty_score":0.06941915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008401049763438492,"score_gpt":0.2441111152868233,"score_spread":0.2357100655233848,"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."}}