{"id":"W2900906637","doi":"10.1056/nejm-jw.na47812","title":"Determining the Incidence and Prevalence of Pediatric MS","year":2018,"lang":"en","type":"article","venue":"Journal watch","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Incidence (geometry); Pediatrics; Demography; Environmental health","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001302738,0.0002715795,0.0002931209,0.00143882,0.0006738244,0.0007161624,0.0006375247,0.0002888498,0.0007991316],"category_scores_gemma":[0.00485904,0.0002912934,0.000439739,0.00247992,0.0002185999,0.000240667,0.0003645904,0.0005067734,0.0001523277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007670893,"about_ca_system_score_gemma":0.01045062,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9142234,"about_ca_topic_score_gemma":0.9220636,"domain_scores_codex":[0.9988437,0.000154644,0.0001387617,0.0001808455,0.0004443126,0.0002378445],"domain_scores_gemma":[0.9972994,0.0002515801,0.0006765684,0.0001450943,0.001428278,0.0001990799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002432592,0.000005592432,0.9966915,0.00001489681,0.00002840128,0.0000193004,0.00008370592,0.0001011827,0.00006919223,0.00006362917,0.0008691074,0.002029127],"study_design_scores_gemma":[0.000005577572,0.00001280167,0.9980135,0.00002516245,0.00003692631,0.00004686573,0.0001420458,0.0003150931,0.0001132059,0.00001823921,0.001267036,0.000003525108],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9615349,0.001098295,0.0009776164,0.0003569587,0.00001650947,0.0001124191,0.03086404,0.00004534585,0.004994015],"genre_scores_gemma":[0.9825826,0.001044158,0.002025824,0.0001188084,0.00001598692,0.00009847278,0.01292974,0.00001227809,0.001172248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9142234,"threshold_uncertainty_score":0.1725634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05865777360485668,"score_gpt":0.3594401053382763,"score_spread":0.3007823317334196,"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."}}