{"id":"W4389086456","doi":"10.1016/j.esmorw.2023.10.001","title":"ESMO Guidance for Reporting Oncology real-World evidence (GROW)","year":2023,"lang":"en","type":"article","venue":"ESMO Real World Data and Digital Oncology","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Toronto General Hospital; University of Toronto; Queen's University; University Health Network","funders":"European Society for Medical Oncology","keywords":"Real world evidence; Multidisciplinary approach; Expert opinion; Medicine; Key (lock); Medical education; Oncology; Political science; Internal medicine; Computer science; Intensive care medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.02341344,0.0003198249,0.001920235,0.000746163,0.0003749667,0.0002358058,0.0008492865,0.0001942367,0.0001016334],"category_scores_gemma":[0.02190157,0.0003860199,0.0001370979,0.0008786387,0.0003487261,0.001942327,0.000754769,0.0002937549,0.001253062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009891669,"about_ca_system_score_gemma":0.0007314874,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004284952,"about_ca_topic_score_gemma":0.02059641,"domain_scores_codex":[0.989835,0.0002425868,0.007387662,0.001506065,0.0001240512,0.0009046177],"domain_scores_gemma":[0.9823297,0.008461912,0.007246865,0.001466403,0.0001164572,0.0003786479],"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":[0.0001834026,0.0001715408,0.3721986,0.0004535969,0.0001462255,0.0000710485,0.0006122163,0.00004055931,0.000003152367,0.1437183,0.4552428,0.02715851],"study_design_scores_gemma":[0.0007673454,0.000385686,0.1401825,0.0001361034,0.0000183255,0.00002323111,0.000428383,0.00429382,0.000002308889,0.01949768,0.8338451,0.0004194903],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3025574,0.002432752,0.003679809,0.2165436,0.005837613,0.004470806,0.00894977,0.001055363,0.4544729],"genre_scores_gemma":[0.9180654,0.003665416,0.01095631,0.01499578,0.003022703,0.0008240074,0.00402038,0.0001835292,0.04426653],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.615508,"threshold_uncertainty_score":0.9998592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6713746522153995,"score_gpt":0.5481450538904478,"score_spread":0.1232295983249517,"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."}}