{"id":"W2330924252","doi":"10.1097/ede.0b013e318210aca5","title":"The New World of Data Linkages in Clinical Epidemiology","year":2011,"lang":"en","type":"review","venue":"Epidemiology","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Epidemiology; Geography; Data science; Computational biology; Medicine; Computer science; Biology; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3091459,0.0005117556,0.009570676,0.000668052,0.0001092574,0.00001739532,0.01348449,0.0008673642,0.0005727889],"category_scores_gemma":[0.4216237,0.0002598719,0.001036895,0.001283803,0.001479117,0.0002654918,0.006352066,0.001709892,0.00178101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000469357,"about_ca_system_score_gemma":0.0006711531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009548102,"about_ca_topic_score_gemma":0.004600012,"domain_scores_codex":[0.8658308,0.1021487,0.02571178,0.004021441,0.0005124272,0.001774764],"domain_scores_gemma":[0.364405,0.6124172,0.009971683,0.01264377,0.0001288244,0.0004335491],"domain_codex":null,"domain_gemma":"methods","domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005092943,0.0000264337,0.0007517844,0.0001538618,0.00007034293,0.000002490732,0.000006550099,3.943379e-7,1.22997e-10,0.09536202,0.3512998,0.5523213],"study_design_scores_gemma":[0.0001023465,0.00005261846,0.00123185,0.0006827342,0.0001343001,0.000005139421,0.00001607378,0.00002276348,1.251102e-9,0.2161517,0.7814228,0.0001776832],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[2.208806e-7,0.9793884,0.006209449,0.006656712,0.002540146,0.0007014909,0.0002451622,0.00002342275,0.004235047],"genre_scores_gemma":[5.184928e-7,0.9781624,0.0071927,0.002725555,0.000760767,0.00003195628,0.0003775706,0.00002469127,0.01072386],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5521436,"threshold_uncertainty_score":0.9999853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9333179870764827,"score_gpt":0.6914807965745963,"score_spread":0.2418371905018865,"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."}}