{"id":"W83783398","doi":"","title":"A combinatorial approach to improved Bonferroni inequalities.","year":2001,"lang":"en","type":"article","venue":"Ars Combinatoria","topic":"Advanced Combinatorial Mathematics","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Bonferroni correction; Mathematics; Inequality; Combinatorics; Statistics; Mathematical analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001022495,0.0007032762,0.001058556,0.0002931221,0.0003227118,0.0001661922,0.001117618,0.000362669,0.00007709105],"category_scores_gemma":[0.002229849,0.0007146273,0.0002621825,0.001134818,0.0001167225,0.0004077973,0.0005070976,0.0006061094,0.0002022504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004627149,"about_ca_system_score_gemma":0.0001813918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000454761,"about_ca_topic_score_gemma":0.00000360226,"domain_scores_codex":[0.9956993,0.0002308719,0.001121083,0.0008673142,0.0009092991,0.001172166],"domain_scores_gemma":[0.9961101,0.0008122479,0.0003858971,0.001654359,0.0004415201,0.0005959095],"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":[0.0001330929,0.001375243,0.0001283614,0.0001290839,0.00007949054,0.0000166203,0.00139586,0.000005344093,0.0004599087,0.9915322,0.00443785,0.0003069292],"study_design_scores_gemma":[0.003509533,0.0003840819,0.0000327671,0.00006695699,0.00007173292,0.00004648634,0.0005511304,0.000519109,0.0008075188,0.9831902,0.009971481,0.0008490234],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8223347,0.0001131861,0.01077859,0.0005533745,0.01600912,0.003270455,0.00002345754,0.001762035,0.1451551],"genre_scores_gemma":[0.9787652,0.00001384426,0.01882051,0.0002453261,0.0001586835,0.000429816,0.00001655355,0.0002200538,0.00133004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1564305,"threshold_uncertainty_score":0.9995305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04787715422498203,"score_gpt":0.3059335039622838,"score_spread":0.2580563497373018,"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."}}