{"id":"W4318997116","doi":"10.3390/curroncol30020143","title":"Harnessing Real-World Evidence to Advance Cancer Research","year":2023,"lang":"en","type":"review","venue":"Current Oncology","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Health and Medical Research Council; Translational Cancer Research Network; National Breast Cancer Foundation","keywords":"Medicine; Real world data; Randomized controlled trial; Real world evidence; Clinical trial; Cornerstone; Data science; Quality (philosophy); Evidence-based practice; Evidence-based medicine; Data quality; Alternative medicine; Medical physics; Computer science; Pathology; Operations management; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.04481285,0.0005348847,0.005559097,0.002593317,0.0004566905,0.0001548423,0.001320636,0.0004786745,0.0006997921],"category_scores_gemma":[0.0156791,0.0006376926,0.0004466613,0.002458405,0.0002071994,0.0004462037,0.0005634245,0.001575475,0.03021432],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009344465,"about_ca_system_score_gemma":0.003258431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001942142,"about_ca_topic_score_gemma":0.004309347,"domain_scores_codex":[0.9858801,0.00274992,0.007839408,0.001865465,0.0002777887,0.001387274],"domain_scores_gemma":[0.9826949,0.0112091,0.003948117,0.0012816,0.0003038977,0.0005623488],"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":[0.000008705841,0.0001174614,0.0005012057,0.0444827,0.0001087993,0.000007332012,0.0006775397,0.00001870223,2.218743e-8,0.02573105,0.2205485,0.707798],"study_design_scores_gemma":[0.0001414765,0.00008082004,0.0001251393,0.0350198,0.00004336224,0.00000311665,0.00009363952,0.00005337919,2.929779e-8,0.002567373,0.9613323,0.0005395787],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0000240575,0.9748406,0.0002188287,0.009751403,0.008918281,0.002939464,0.0005339851,0.000156012,0.002617345],"genre_scores_gemma":[0.000003262102,0.9857602,0.0005232192,0.0007239626,0.00310261,0.004080023,0.00007790522,0.0001617083,0.00556713],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7407838,"threshold_uncertainty_score":0.9996074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9444572561004146,"score_gpt":0.7244363435946608,"score_spread":0.2200209125057538,"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."}}