{"id":"W2604427595","doi":"10.1016/j.jclinepi.2017.03.016","title":"Quasi-experimental study designs series—paper 13: realizing the full potential of quasi-experiments for health research","year":2017,"lang":"en","type":"article","venue":"Journal of Clinical Epidemiology","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; Bruyère","funders":"","keywords":"Quasi-experiment; Management science; Work (physics); Computer science; Medicine; Engineering; Environmental health","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":[0.213103,0.001407612,0.002408305,0.0008430905,0.001204562,0.00288486,0.003226364,0.004097212,0.01713677],"category_scores_gemma":[0.3342301,0.001710578,0.002563299,0.0009299408,0.00700833,0.005940191,0.004707577,0.005760528,0.001385973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001238494,"about_ca_system_score_gemma":0.005082862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004764487,"about_ca_topic_score_gemma":0.0005039477,"domain_scores_codex":[0.7099876,0.2722811,0.003627489,0.006307807,0.007143041,0.0006531003],"domain_scores_gemma":[0.4527155,0.47484,0.009425214,0.05232922,0.008304386,0.002385606],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002852216,0.0006272031,0.002447413,0.002401882,0.001191869,0.0001006074,0.0007534674,0.00497473,0.001742921,0.8552143,0.00980852,0.1178849],"study_design_scores_gemma":[0.003463515,0.002130753,0.001467888,0.0006395107,0.000479607,0.0002479768,0.0001226501,0.03593154,0.002104744,0.9261828,0.02713546,0.00009350487],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003306667,0.0007497767,0.9855052,0.004301566,0.001492999,0.001479456,0.0003769016,0.0001764025,0.002611003],"genre_scores_gemma":[0.07649267,0.0007180321,0.9085165,0.002813716,0.00101787,0.008082049,0.0002217059,0.0001122478,0.002025244],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.786897,"threshold_uncertainty_score":0.9703841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8447639045687289,"score_gpt":0.7027608747233955,"score_spread":0.1420030298453333,"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."}}