{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.820122,0.002324689,0.004292335,0.008992306,0.006278937,0.01741659,0.01353356,0.008175756,0.008405789],"category_scores_gemma":[0.8870057,0.004943204,0.008118367,0.01131191,0.01139903,0.01498733,0.02428851,0.01119237,0.001686845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009696986,"about_ca_system_score_gemma":0.03791418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008578791,"about_ca_topic_score_gemma":0.01361704,"domain_scores_codex":[0.07338892,0.8775511,0.03252738,0.003708237,0.01135086,0.001473612],"domain_scores_gemma":[0.04836473,0.7626294,0.02670648,0.1062874,0.05242408,0.003587975],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.01500902,0.003903755,0.1049277,0.06138891,0.01584739,0.003887887,0.08331596,0.01670358,0.002206002,0.2825841,0.1126755,0.2975502],"study_design_scores_gemma":[0.01129882,0.005848288,0.03221036,0.1446782,0.01300692,0.002603923,0.05861332,0.04380716,0.005493497,0.2682874,0.4129322,0.001219915],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05374927,0.01559324,0.615154,0.0985154,0.007400223,0.1862765,0.006265711,0.0008904839,0.01615523],"genre_scores_gemma":[0.07794476,0.001514377,0.6784024,0.01207816,0.0005799172,0.2272036,0.001257485,0.0003268225,0.0006925354],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.179878,"threshold_uncertainty_score":0.2218217,"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."}}