{"id":"W2033874499","doi":"10.1158/1055-9965.epi-14-1086","title":"Opportunities for Translational Epidemiology: The Important Role of Observational Studies to Advance Precision Oncology","year":2015,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"National Institutes of Health","keywords":"Observational study; Translational research; Precision oncology; Multidisciplinary approach; Medicine; Medical physics; Precision medicine; Clinical trial; Data science; Computer science; Internal medicine; Pathology; Sociology","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":[],"category_scores_codex":[0.3938734,0.001681875,0.004090121,0.005492698,0.002905306,0.01051456,0.005475259,0.01265859,0.003890152],"category_scores_gemma":[0.4434364,0.001747515,0.003278687,0.004115066,0.02842002,0.02161036,0.01062637,0.02478935,0.0009163067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006060805,"about_ca_system_score_gemma":0.01961031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004053015,"about_ca_topic_score_gemma":0.006099704,"domain_scores_codex":[0.7537879,0.2184723,0.007902379,0.006319651,0.01245761,0.001060116],"domain_scores_gemma":[0.2353783,0.7054386,0.01212115,0.02958285,0.01439038,0.0030888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003051968,0.0001466538,0.01406951,0.004614124,0.001373615,0.0004892024,0.003541181,0.005069054,0.0004550486,0.718695,0.05467419,0.1965671],"study_design_scores_gemma":[0.0001366156,0.000119075,0.00238684,0.004154526,0.000250032,0.000330457,0.0009348512,0.002707511,0.0001642384,0.9114398,0.07725459,0.0001215999],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0015373,0.1019758,0.1389045,0.7447712,0.008986453,0.0001586606,0.0002990689,0.0001284056,0.003238653],"genre_scores_gemma":[0.1222942,0.1892741,0.2437339,0.358357,0.08242868,0.001252366,0.0004754401,0.0002541659,0.001930164],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.3938734,"threshold_uncertainty_score":0.747462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3084099242088422,"score_gpt":0.4558015728074881,"score_spread":0.1473916485986458,"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."}}