{"id":"W2589731811","doi":"10.1093/annonc/mdx077","title":"Addressing the quality of the ESMO-MCBS","year":2017,"lang":"en","type":"letter","venue":"Annals of Oncology","topic":"Economic and Financial Impacts of Cancer","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Quality (philosophy); Medical physics; Intensive care medicine; Epistemology","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":[0.0205167,0.0003896555,0.00135635,0.0009513996,0.003980842,0.008519947,0.002649451,0.05574729,0.01398008],"category_scores_gemma":[0.1574787,0.0005813623,0.001390823,0.0009450206,0.004919071,0.005399643,0.004990301,0.04395999,0.004541692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008236798,"about_ca_system_score_gemma":0.01499413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008375597,"about_ca_topic_score_gemma":0.02350761,"domain_scores_codex":[0.9886869,0.00408994,0.001218421,0.0008699352,0.003610456,0.001524305],"domain_scores_gemma":[0.9220962,0.04552071,0.003390449,0.002705586,0.01341856,0.01286843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003684626,0.0000476133,0.001831799,0.000051412,0.00002383342,0.0007397713,0.0001167685,0.0001776245,0.00008923008,0.0213961,0.9585052,0.01698385],"study_design_scores_gemma":[0.00007839171,0.00003893571,0.002425777,0.0005384868,0.000029737,0.001129066,0.0004462333,0.001002951,0.0002075068,0.051371,0.9426728,0.00005904464],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002635769,0.0005072319,0.00006551407,0.9940211,0.003136105,0.000003502299,0.00002322342,0.000004034794,0.001975676],"genre_scores_gemma":[0.009599488,0.001127815,0.0003971823,0.9497818,0.03436331,0.00002816732,0.00004510002,0.00002932434,0.004627712],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05574729,"threshold_uncertainty_score":0.108504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4848792684518027,"score_gpt":0.436601451174192,"score_spread":0.04827781727761066,"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."}}