{"id":"W3207687648","doi":"10.1002/cpt.2453","title":"The Friends of Cancer Research Real‐World Data Collaboration Pilot 2.0: Methodological Recommendations from Oncology Case Studies","year":2021,"lang":"en","type":"article","venue":"Clinical Pharmacology & Therapeutics","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"Tellabs (Canada)","funders":"","keywords":"Real world data; Clinical trial; Medicine; Consistency (knowledge bases); Identification (biology); Oncology; Clinical Oncology; Lung cancer; MEDLINE; Internal medicine; Medical physics; Cancer; Family medicine; Data science; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.003518203,0.0001551769,0.000429013,0.00004026166,0.0004133284,0.00002882391,0.000577848,0.0001820365,0.00008015723],"category_scores_gemma":[0.0007408002,0.0001216518,0.00008101699,0.0004290221,0.001382563,0.000006255832,0.00106523,0.0005345216,0.000005400264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000838962,"about_ca_system_score_gemma":0.001099084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002409403,"about_ca_topic_score_gemma":0.01393575,"domain_scores_codex":[0.9948738,0.003189603,0.0008014539,0.0006461506,0.0001455371,0.0003434596],"domain_scores_gemma":[0.9882418,0.009284328,0.0003176626,0.0008600176,0.001188098,0.0001080968],"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":[0.003807121,0.002406623,0.01298053,0.00002989873,0.008843374,0.000597287,0.0004972373,0.0003531147,0.3621058,0.0008575139,0.4845884,0.122933],"study_design_scores_gemma":[0.001637922,0.001402528,0.0007883011,0.00000888498,0.0008400931,0.00002429325,0.00182801,0.0004156815,0.04808769,0.001146306,0.9436282,0.0001920961],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9149048,0.02232535,0.0002923372,0.05563291,0.004820248,0.0004006956,0.001205245,0.00001510005,0.0004033424],"genre_scores_gemma":[0.5580193,0.4102056,0.008654424,0.01823681,0.00316561,0.00016563,0.0008528093,0.00004648555,0.0006533263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4590397,"threshold_uncertainty_score":0.7776473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6741482432695717,"score_gpt":0.6587737536001147,"score_spread":0.01537448966945698,"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."}}