{"id":"W6977377909","doi":"10.6084/m9.figshare.c.6020431","title":"Impact of methodological choices in comparative effectiveness studies: application in natalizumab versus fingolimod comparison among patients with multiple sclerosis","year":2022,"lang":"en","type":"other","venue":"VBN Forskningsportal (Aalborg Universitet)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Hôpital Notre-Dame","funders":"","keywords":"Fingolimod; Propensity score matching; Observational study; Multiple sclerosis; Natalizumab; Causal inference; Matching (statistics); Selection bias; Confidence interval","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":[0.7411639,0.001973737,0.003774628,0.003679047,0.002233136,0.005932191,0.004067371,0.005432108,0.003169315],"category_scores_gemma":[0.8542014,0.001623994,0.01010153,0.006542962,0.006392538,0.004581286,0.005983466,0.004786603,0.0002171871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003913573,"about_ca_system_score_gemma":0.006543938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001062517,"about_ca_topic_score_gemma":0.0009266757,"domain_scores_codex":[0.06710841,0.8511714,0.05248924,0.007800045,0.02083816,0.0005928042],"domain_scores_gemma":[0.05623475,0.8769289,0.03302339,0.02745166,0.005661721,0.0006995318],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.04332548,0.001816506,0.176759,0.04666818,0.1214842,0.002896595,0.01762714,0.0344945,0.003972106,0.1175886,0.008253174,0.4251145],"study_design_scores_gemma":[0.0257288,0.02224456,0.2083112,0.04930333,0.1062341,0.005541206,0.004647225,0.1784891,0.01950552,0.3272327,0.05107655,0.001685664],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1530727,0.05887661,0.7317419,0.02015482,0.003584926,0.02156367,0.001217546,0.0003912373,0.009396517],"genre_scores_gemma":[0.7687584,0.003100728,0.2034855,0.005457122,0.0007514711,0.01733055,0.0003615984,0.0001947452,0.0005600545],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2588361,"threshold_uncertainty_score":0.319191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1180074909278477,"score_gpt":0.3624930578610934,"score_spread":0.2444855669332457,"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."}}