{"id":"W2567286744","doi":"10.1002/bimj.201500254","title":"Multiple confidence intervals for selected parameters adjusted for the false coverage rate in monotone dose–response microarray experiments","year":2016,"lang":"en","type":"article","venue":"Biometrical Journal","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acadia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Monotone polygon; Confidence interval; False discovery rate; Mathematics; Microarray; Statistics; Selection (genetic algorithm); Multiple comparisons problem; Microarray analysis techniques; Gene; Biology; Computer science; Gene expression; Genetics; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.102957,0.001752336,0.002925056,0.004021729,0.0009682425,0.00231073,0.004773115,0.0040004,0.001065148],"category_scores_gemma":[0.2520657,0.0009928098,0.00346487,0.002800328,0.002943684,0.003380671,0.00291352,0.00491699,0.0002081368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002188421,"about_ca_system_score_gemma":0.001375943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001434684,"about_ca_topic_score_gemma":0.0008040741,"domain_scores_codex":[0.9235446,0.05119351,0.004084466,0.009278991,0.01049585,0.001402619],"domain_scores_gemma":[0.6205596,0.3298428,0.01680427,0.02021711,0.01164511,0.0009311428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.004212,0.000386944,0.04788714,0.002340837,0.002994285,0.002054716,0.001748833,0.4809967,0.05587805,0.1018028,0.002613635,0.2970841],"study_design_scores_gemma":[0.000181046,0.0005698735,0.0221,0.0002250775,0.0006005587,0.001002699,0.000167956,0.8917908,0.03303232,0.04707061,0.002981421,0.0002776845],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02571587,0.001156746,0.9717196,0.0002053259,0.0000681361,0.0001273653,0.0001564084,0.0005280973,0.000322472],"genre_scores_gemma":[0.4597003,0.0005272505,0.5372286,0.0002667123,0.0001299112,0.0008559973,0.0006628695,0.0002932742,0.0003350334],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.102957,"threshold_uncertainty_score":0.5444952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04942074525203276,"score_gpt":0.3215882805391372,"score_spread":0.2721675352871045,"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."}}