{"id":"W2913253891","doi":"10.1038/s41571-019-0167-7","title":"Real-world data: towards achieving the achievable in cancer care","year":2019,"lang":"en","type":"review","venue":"Nature Reviews Clinical Oncology","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":316,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; Queen's University","funders":"Canada Research Chairs","keywords":"Medicine; Real world data; Clinical trial; MEDLINE; Quality (philosophy); Clinical Practice; Randomized controlled trial; Health care; Data science; Intensive care medicine; Medical physics; Computer science; Family medicine; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.07930316,0.001684104,0.005903651,0.005672718,0.0004790027,0.007932747,0.004384605,0.006236443,0.006860025],"category_scores_gemma":[0.2285866,0.001254,0.002499407,0.01044316,0.004989847,0.01545248,0.005503414,0.01117841,0.001681148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004891123,"about_ca_system_score_gemma":0.0107998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005335213,"about_ca_topic_score_gemma":0.007828545,"domain_scores_codex":[0.949228,0.03512117,0.004674873,0.002037185,0.008336222,0.0006024945],"domain_scores_gemma":[0.6378196,0.323175,0.01348113,0.008568779,0.01510738,0.001848103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003332322,0.00009605235,0.003679885,0.07674991,0.002972772,0.0001005549,0.0002361182,0.003767774,0.0001564539,0.1279271,0.1068473,0.6771328],"study_design_scores_gemma":[0.0002134909,0.0001591875,0.007241938,0.1080762,0.001873816,0.0003200206,0.0005087168,0.002786773,0.0002204038,0.2224745,0.6559421,0.0001829104],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003493516,0.9562743,0.004645806,0.0340252,0.002043299,0.00004871215,0.001416401,0.00004506328,0.001152007],"genre_scores_gemma":[0.01380915,0.9558954,0.009330492,0.01496233,0.003622644,0.0003253661,0.001706683,0.00005546465,0.0002925184],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.07930316,"threshold_uncertainty_score":0.4194002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8509468801012106,"score_gpt":0.6837867345671093,"score_spread":0.1671601455341013,"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."}}