{"id":"W1985863851","doi":"10.1177/1352458514521310","title":"Administrative databases for observational studies in multiple sclerosis: power or peril?","year":2014,"lang":"en","type":"letter","venue":"Multiple Sclerosis Journal","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Multiple sclerosis; Observational study; Medicine; MEDLINE; Database; Computer science; Psychiatry; Political science; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2585961,0.0009205083,0.005017519,0.006477072,0.003914496,0.0127757,0.007621747,0.03989847,0.005459135],"category_scores_gemma":[0.6755926,0.002929597,0.002839173,0.01153503,0.01027674,0.01710478,0.009246448,0.03187855,0.004741312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007495284,"about_ca_system_score_gemma":0.01757083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01388001,"about_ca_topic_score_gemma":0.0208106,"domain_scores_codex":[0.6892897,0.1959099,0.05911078,0.007649586,0.04336277,0.0046772],"domain_scores_gemma":[0.09332161,0.8102816,0.03284272,0.02186014,0.03294971,0.008744194],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000461342,0.00007875205,0.01380332,0.001148841,0.0004902084,0.0004493885,0.00064186,0.0002333388,0.0001274958,0.02416592,0.9044119,0.05398772],"study_design_scores_gemma":[0.001953266,0.0001982832,0.02891755,0.009709057,0.0006994182,0.001455304,0.001482791,0.004522272,0.0004396346,0.1115925,0.8385199,0.0005100376],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0007756954,0.003784665,0.001037757,0.9845047,0.006962559,0.00005544872,0.0008777179,0.00006620621,0.001935352],"genre_scores_gemma":[0.01374741,0.00318633,0.005813418,0.9301599,0.04432105,0.0004813576,0.0008504874,0.00008642246,0.001353676],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.7414039,"threshold_uncertainty_score":0.914283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9193335190700312,"score_gpt":0.5021998921628826,"score_spread":0.4171336269071486,"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."}}