{"id":"W3000174030","doi":"10.2188/jea.je20190271","title":"Study Profile of the Tohoku Medical Megabank Community-Based Cohort Study","year":2020,"lang":"en","type":"article","venue":"Journal of Epidemiology","topic":"Disaster Response and Management","field":"Health Professions","cited_by":166,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Aging","funders":"Ministry of Education, Culture, Sports, Science and Technology; Japan Agency for Medical Research and Development","keywords":"Medicine; Incidence (geometry); Cohort; Cohort study; Environmental health; Cancer incidence; Internal medicine; Population","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02469397,0.0001348272,0.0009793959,0.00008436318,0.0003486033,0.000001548204,0.000955436,0.0001266686,0.0008223165],"category_scores_gemma":[0.01688914,0.00007487019,0.0001816425,0.0002278887,0.0001285199,0.00004797955,0.0005035014,0.001993865,0.00003831389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005505204,"about_ca_system_score_gemma":0.000477869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002323875,"about_ca_topic_score_gemma":0.0001867686,"domain_scores_codex":[0.9675746,0.02949822,0.002002901,0.0001340714,0.0004597227,0.0003305076],"domain_scores_gemma":[0.9901574,0.007387225,0.001473916,0.0005070005,0.0002279819,0.0002464956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000536952,0.001353706,0.9351354,0.00008474349,0.0003179649,0.00003799723,0.01135698,0.00004670666,0.000008606976,0.0002642171,0.05051631,0.0003404022],"study_design_scores_gemma":[0.003754389,0.004362538,0.8941417,0.0001633859,0.0002970989,0.000005486683,0.06168374,0.0001626223,0.000003618265,0.0003306397,0.03499403,0.0001007274],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9702532,0.0000646199,0.0008579502,0.02287282,0.0006629783,0.001824092,0.000005072237,0.00001228712,0.003446945],"genre_scores_gemma":[0.9780632,0.000008825802,0.000147716,0.02122808,0.000228941,0.00005472478,0.000001623305,0.00001335206,0.0002535018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05032675,"threshold_uncertainty_score":0.991392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2748595070804631,"score_gpt":0.5093282487858996,"score_spread":0.2344687417054364,"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."}}