{"id":"W2900575151","doi":"10.1177/1352458518810924","title":"Month-of-birth-effect in multiple sclerosis in Austria","year":2018,"lang":"en","type":"article","venue":"Multiple Sclerosis Journal","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multiple sclerosis; Demography; Population; Birth rate; Cohort; Medicine; Geography; Pediatrics; Fertility; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00336488,0.0006445972,0.001634623,0.001638037,0.0003791981,0.0001229619,0.0006252343,0.0003787456,0.0005787113],"category_scores_gemma":[0.00751889,0.0005451076,0.0005163095,0.001851312,0.0008514191,0.000506314,0.0003959637,0.00166916,0.0001539574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007953783,"about_ca_system_score_gemma":0.000277047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00130679,"about_ca_topic_score_gemma":0.003230366,"domain_scores_codex":[0.9934883,0.0007212464,0.00185863,0.0008151082,0.00152044,0.001596292],"domain_scores_gemma":[0.9957778,0.00153467,0.0005307892,0.0008262913,0.0006609259,0.0006695245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002297033,0.0007151541,0.7412206,0.000128469,0.0001336301,0.0000434079,0.001066205,0.00009160786,0.2122543,0.000003055183,0.001749274,0.04029722],"study_design_scores_gemma":[0.02152647,0.001695919,0.9073268,0.002556951,0.00004854751,0.00003391964,0.0004719019,0.00599633,0.05915117,0.00001994992,0.0007450722,0.0004269402],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952282,0.0008897696,0.0001325356,0.0007890764,0.0006320759,0.00149047,0.0000550601,0.00007377761,0.0007090413],"genre_scores_gemma":[0.993458,0.002047608,0.003085777,0.0001542446,0.0008256755,0.0001438594,0.00001194491,0.0001054795,0.0001674128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1661062,"threshold_uncertainty_score":0.9997001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1488017615972509,"score_gpt":0.3217018510036634,"score_spread":0.1729000894064125,"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."}}