{"id":"W2119863846","doi":"10.1016/j.jclinepi.2014.12.018","title":"Interrupted time series analysis in drug utilization research is increasing: systematic review and recommendations","year":2015,"lang":"en","type":"review","venue":"Journal of Clinical Epidemiology","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":486,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; St. Michael's Hospital; University of Toronto","funders":"","keywords":"Interrupted time series; Interrupted Time Series Analysis; Medicine; MEDLINE; Systematic review; Psychological intervention; Meta-analysis; Research design; Statistics; Pathology; Mathematics","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","metaepi_broad","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.1857933,0.0003980188,0.01983804,0.001321471,0.00005174677,0.00001927081,0.0006868938,0.0007414176,0.0001746728],"category_scores_gemma":[0.4634458,0.0002624571,0.001321071,0.00177174,0.0003906487,0.0002910451,0.0003046108,0.002848029,0.00002588388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002776845,"about_ca_system_score_gemma":0.0005551816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001996785,"about_ca_topic_score_gemma":0.00003347622,"domain_scores_codex":[0.9277359,0.05629213,0.01474017,0.0004573537,0.0003621018,0.0004123439],"domain_scores_gemma":[0.8437547,0.1411545,0.01220357,0.0008564668,0.001669757,0.0003610529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00004736955,0.0003247921,0.0002526049,0.8643678,0.003177988,0.00003295381,0.0001351225,3.338917e-7,1.444656e-8,0.01170119,0.04924131,0.07071853],"study_design_scores_gemma":[0.0001828939,0.0003678944,0.00001103792,0.579801,0.01794176,0.00035841,0.00006079323,0.00005926472,4.66222e-8,0.2225594,0.1783232,0.0003343227],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000003890196,0.9927569,0.003118077,0.002465117,0.00009383719,0.001269976,0.00002504228,0.00002957967,0.0002375769],"genre_scores_gemma":[0.000004125514,0.9667422,0.03216314,0.0004649919,0.0001079019,0.00006633176,0.00003781709,0.00003800928,0.000375436],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.2845668,"threshold_uncertainty_score":0.9999828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8623636112980363,"score_gpt":0.7162576385668367,"score_spread":0.1461059727311996,"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."}}