{"id":"W2008609509","doi":"10.1016/j.jspi.2013.08.013","title":"Simultaneous confidence bounds in monotone dose–response studies","year":2013,"lang":"en","type":"article","venue":"Journal of Statistical Planning and Inference","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Acadia University; Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Monotonic function; Confidence interval; Monotone polygon; Applied mathematics; Mathematical optimization; Homogeneous; Statistics; Combinatorics; Mathematical analysis","routes":{"ca_aff":true,"ca_fund":true,"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":[],"category_scores_codex":[0.1922308,0.004286911,0.01054722,0.004200751,0.001053125,0.007030006,0.006960848,0.005769153,0.008662462],"category_scores_gemma":[0.5120676,0.00683445,0.007572391,0.003828382,0.005870184,0.01027599,0.009251988,0.01348635,0.0008100619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002582604,"about_ca_system_score_gemma":0.005213986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002012427,"about_ca_topic_score_gemma":0.001114272,"domain_scores_codex":[0.7971386,0.1769368,0.00610678,0.008381885,0.009085237,0.002350669],"domain_scores_gemma":[0.212769,0.7581309,0.00928384,0.01365297,0.004783368,0.001379916],"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":[0.00482987,0.0003136726,0.003444523,0.004262526,0.005250052,0.0009219185,0.0008119973,0.2154128,0.00185085,0.6213282,0.005063057,0.1365105],"study_design_scores_gemma":[0.0009050225,0.0006641299,0.001071268,0.0005112181,0.001451817,0.0004577266,0.00004895678,0.379791,0.001449703,0.6091684,0.004385984,0.00009490844],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004741392,0.003865616,0.9878581,0.00120717,0.0001648446,0.0002502196,0.0002413615,0.0002338263,0.001437502],"genre_scores_gemma":[0.3247897,0.006060232,0.6557744,0.002494771,0.001482052,0.003821364,0.001139042,0.0007983563,0.003640036],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1922308,"threshold_uncertainty_score":0.9961233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4712425376506508,"score_gpt":0.5822010376854657,"score_spread":0.1109585000348149,"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."}}