{"id":"W2954895742","doi":"10.3747/co.26.5151","title":"Fulfilling the Potential of Real-World Evidence for Lung Cancer in Canada","year":2019,"lang":"en","type":"article","venue":"Current Oncology","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; William Osler Health System; London Health Sciences Centre; University of Toronto","funders":"U.S. Food and Drug Administration","keywords":"Real world evidence; Globe; Real world data; Medicine; Lung cancer; Data science; Pathology; Internal medicine; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03906614,0.0003310908,0.001489244,0.003925084,0.003754418,0.01215168,0.003472695,0.002516975,0.007529068],"category_scores_gemma":[0.199575,0.0007178006,0.001509757,0.006883523,0.003023357,0.002733167,0.00330558,0.004367295,0.0003330815],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1406516,"about_ca_system_score_gemma":0.4877575,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9869471,"about_ca_topic_score_gemma":0.9947523,"domain_scores_codex":[0.9568089,0.01447209,0.007086887,0.002119426,0.01533396,0.004178691],"domain_scores_gemma":[0.7540159,0.08557514,0.01378682,0.006665538,0.1191232,0.02083337],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002206061,0.0002338171,0.2015484,0.02561586,0.006788509,0.001390684,0.00461437,0.007465288,0.001239712,0.1253736,0.3105866,0.312937],"study_design_scores_gemma":[0.00161752,0.0005806845,0.3404058,0.05212978,0.007082775,0.0007795724,0.008190962,0.01206013,0.002244045,0.03583588,0.5383096,0.0007631817],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.07888664,0.168804,0.005269485,0.5981842,0.003659012,0.001468973,0.03535041,0.0001728083,0.1082045],"genre_scores_gemma":[0.842235,0.06089658,0.01811023,0.06347775,0.001512208,0.0004512169,0.006873243,0.0001066148,0.006337217],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9609339,"threshold_uncertainty_score":0.9967223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08607120771640295,"score_gpt":0.4382759725167923,"score_spread":0.3522047648003893,"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."}}