{"id":"W2121912070","doi":"10.1093/aje/kwt092","title":"Exploring the Implications of Small-Area Variation in the Incidence of Multiple Sclerosis","year":2013,"lang":"en","type":"article","venue":"American Journal of Epidemiology","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Agriculture Food and Rural Development; Ministry of Agriculture, Food and Rural Affairs","funders":"","keywords":"Demography; Poisson regression; Incidence (geometry); Socioeconomic status; Rate ratio; Population; Geography; Scan statistic; Epidemiology; Medicine; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00295248,0.0000809203,0.0005891194,0.0001169612,0.00002840328,0.000001865318,0.0003668861,0.0000184269,0.00003112066],"category_scores_gemma":[0.01085265,0.00004365922,0.0001275634,0.0004121039,0.0004475857,0.0001225044,0.00004250774,0.000224844,0.000003906766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003906375,"about_ca_system_score_gemma":0.00009331742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001936626,"about_ca_topic_score_gemma":0.00009330316,"domain_scores_codex":[0.9975979,0.001027443,0.0009782055,0.0001104917,0.0001067779,0.0001791994],"domain_scores_gemma":[0.9908872,0.006824665,0.001431872,0.0004574016,0.0003296251,0.00006921721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008664692,0.000103808,0.9546326,0.00001394879,0.0000717054,0.000001201392,0.0009144041,0.0005467843,0.007897151,0.000463002,0.0004731536,0.03479553],"study_design_scores_gemma":[0.0002793265,0.0003314624,0.9970651,0.00009569559,0.00004094449,0.00004733007,0.0007721038,0.0004062053,0.00006232758,0.0007374588,0.0001270072,0.00003508684],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839666,0.0001985799,0.005967426,0.009513319,0.00005600077,0.0002046282,0.00001504199,0.000003571475,0.00007476881],"genre_scores_gemma":[0.9923071,0.0005307957,0.005814366,0.001239555,0.00005764542,0.00003801161,0.000004557727,0.000006495982,0.000001489912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04243239,"threshold_uncertainty_score":0.9974794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1870798571471128,"score_gpt":0.3314568178679614,"score_spread":0.1443769607208486,"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."}}