{"id":"W2033488250","doi":"10.1186/1742-5573-4-15","title":"Case-cohort design in practice – experiences from the MORGAM Project","year":2007,"lang":"en","type":"article","venue":"Epidemiologic Perspectives & Innovations","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":131,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Academy of Finland; Institut National de la Santé et de la Recherche Médicale; Socialstyrelsen; Institute Pasteur De Lille; Università degli Studi dell'Insubria; Queen's University; European Commission; Università degli Studi di Milano; National Research Centre; University of Dundee; Royal College of Surgeons in Ireland; Helsingin Yliopisto","keywords":"Cohort; Computer science; Medicine; Cohort study; Event (particle physics); Data science; Statistics; Operations management; Engineering; Mathematics; Pathology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.006927673,0.0002112881,0.0002920301,0.0001024484,0.0003264789,0.00001885324,0.0002977966,0.0002752654,0.00003877558],"category_scores_gemma":[0.0224775,0.0001506713,0.00008198813,0.0007758186,0.0003085711,0.00001530573,0.0001178979,0.0003119428,0.0000104091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001035021,"about_ca_system_score_gemma":0.0001649621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001599083,"about_ca_topic_score_gemma":0.0003449848,"domain_scores_codex":[0.9970034,0.00109592,0.0006816947,0.0006300359,0.0001078795,0.0004810501],"domain_scores_gemma":[0.9960327,0.002764954,0.0003589523,0.0004835335,0.0003213711,0.00003845918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002833867,0.0006357817,0.8750777,0.000002858681,0.0006231221,0.0002785864,0.03046597,0.002227759,0.01624263,0.01662483,0.05420646,0.003330881],"study_design_scores_gemma":[0.0004648981,0.0003258561,0.7206848,0.000008555587,0.00005137634,0.0004742593,0.2649836,0.0003317787,0.000495076,0.002736588,0.00902514,0.0004181137],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8980295,0.001494768,0.09250684,0.003622174,0.000182459,0.0006556155,0.00001724933,0.00002919995,0.003462204],"genre_scores_gemma":[0.9519174,0.0003100008,0.04463429,0.0022728,0.0003985603,0.0002596546,0.00008002295,0.00001370452,0.0001135675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2345176,"threshold_uncertainty_score":0.9857566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0568252640656534,"score_gpt":0.3603648055553537,"score_spread":0.3035395414897003,"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."}}