{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.01236484,0.0008340959,0.003125554,0.0009580548,0.0008616558,0.0004140783,0.0009149208,0.0007255366,0.0008644084],"category_scores_gemma":[0.03227849,0.000875818,0.0006215411,0.0003397133,0.0003543538,0.0012221,0.0001592222,0.001953184,0.000542884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001802002,"about_ca_system_score_gemma":0.0007153565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002308041,"about_ca_topic_score_gemma":0.0009739405,"domain_scores_codex":[0.9879884,0.0009333137,0.008074571,0.00135303,0.0003980756,0.001252639],"domain_scores_gemma":[0.980019,0.01185573,0.006395807,0.0008756358,0.0005620196,0.0002917696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001641219,0.0001462851,0.03173873,0.0007391535,0.0004170693,0.00001143714,0.001594863,0.0001544909,0.00001223922,0.0004449505,0.9645041,0.00007260538],"study_design_scores_gemma":[0.005719804,0.0004200081,0.04507397,0.002986846,0.00004958053,0.00006423512,0.002970395,0.002765836,0.00001582884,0.001384449,0.9371276,0.001421462],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.03523543,0.009379014,0.00663547,0.9258552,0.007011919,0.003885549,0.01158002,0.0001329609,0.0002844611],"genre_scores_gemma":[0.09921624,0.002376088,0.03126143,0.8496841,0.0115855,0.001722902,0.001545069,0.000331045,0.00227761],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.07617106,"threshold_uncertainty_score":0.9993693,"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."}}