{"id":"W2948327198","doi":"10.1002/9781118445112.stat08085","title":"<scp>MOVER‐R</scp>for Confidence Intervals of Ratios","year":2018,"lang":"en","type":"other","venue":"Wiley StatsRef: Statistics Reference Online","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Confidence interval; Mathematics; Statistics; Variance (accounting); Context (archaeology); Reliability (semiconductor); CDF-based nonparametric confidence interval; Confidence distribution; Coefficient of variation","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":[],"consensus_categories":[],"category_scores_codex":[0.04557627,0.002939757,0.003439287,0.01077568,0.001761152,0.004116782,0.006453738,0.005971524,0.09139661],"category_scores_gemma":[0.4571805,0.001988447,0.004901253,0.01526579,0.005913532,0.006661831,0.003360098,0.01338224,0.04774908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003411036,"about_ca_system_score_gemma":0.003165445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005216933,"about_ca_topic_score_gemma":0.002596238,"domain_scores_codex":[0.948044,0.03294471,0.003050484,0.003225183,0.01206077,0.0006747581],"domain_scores_gemma":[0.5433704,0.3891277,0.01022629,0.03074574,0.02559602,0.0009339284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000248492,0.00008516327,0.0008616329,0.002143517,0.0003285553,0.0008648048,0.0004644605,0.008519357,0.0004241951,0.4807281,0.3714305,0.1339011],"study_design_scores_gemma":[0.0001753887,0.0001051305,0.001692756,0.00243646,0.0001325322,0.001107084,0.00008832811,0.05180388,0.001558723,0.7021551,0.2385437,0.000200895],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000683666,0.005449764,0.934849,0.009733701,0.006033962,0.0007726487,0.004085201,0.003309846,0.03508219],"genre_scores_gemma":[0.08099304,0.007865439,0.8149015,0.01386879,0.01223224,0.01381347,0.008286073,0.009473683,0.03856576],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.09139661,"threshold_uncertainty_score":0.3057521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3386545061266316,"score_gpt":0.4515427145562042,"score_spread":0.1128882084295726,"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."}}