{"id":"W2006279547","doi":"10.1016/j.jspi.2008.10.010","title":"A clarifying comparison of methods for controlling the false discovery rate","year":2008,"lang":"en","type":"article","venue":"Journal of Statistical Planning and Inference","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; False discovery rate; Statistics; Econometrics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.006436669,0.0001492172,0.001058743,0.0000604582,0.0001778543,0.0000516641,0.0002109274,0.0001136606,0.00001270063],"category_scores_gemma":[0.1886731,0.00008802376,0.0001148353,0.0000912961,0.0004503529,0.000130348,0.00004886961,0.0005849999,2.929708e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001485647,"about_ca_system_score_gemma":0.0001024228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003584353,"about_ca_topic_score_gemma":2.026709e-7,"domain_scores_codex":[0.9967352,0.001058793,0.001625147,0.0001456695,0.000211073,0.0002241202],"domain_scores_gemma":[0.7904743,0.2080641,0.0009391695,0.0001254285,0.0002897207,0.0001073114],"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":[0.002828824,0.000464605,0.01773582,0.0006757882,0.0005291616,0.00004689043,0.002781221,0.0004315142,0.004240032,0.8824921,0.003373773,0.08440033],"study_design_scores_gemma":[0.001584599,0.0008562788,0.004676115,0.0004041373,0.000265486,0.00004530614,0.0003888748,0.01964354,0.0009776403,0.9706914,0.0003185084,0.0001481335],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02246865,0.000540194,0.9762112,0.0001548316,0.000278915,0.0001844178,0.00007569126,0.000006844338,0.00007922044],"genre_scores_gemma":[0.4018823,0.00004458637,0.5979033,0.00005223564,0.00009520886,0.000003519269,3.753856e-7,0.000008292414,0.00001029952],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3794136,"threshold_uncertainty_score":0.818161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6984027215085322,"score_gpt":0.6444145945230494,"score_spread":0.05398812698548283,"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."}}