{"id":"W2162057952","doi":"10.1109/itw.2005.1531856","title":"The multivariate merit factor of a Boolean function","year":2005,"lang":"en","type":"article","venue":"","topic":"Coding theory and cryptography","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Univariate; Asymptote; Boolean function; Multivariate statistics; Mathematics; Figure of merit; Quadratic equation; Function (biology); Multivariate analysis; Metric (unit); Value (mathematics); Statistics; Discrete mathematics; Computer science; Mathematical analysis; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001589093,0.00004551721,0.00004496405,0.00002850388,0.0001082585,0.00004270287,0.0003411575,0.00001575249,0.00004683722],"category_scores_gemma":[0.00001220134,0.00002731048,0.0000549694,0.0001590104,0.00003034754,0.0001720918,0.00006786486,0.0000411808,0.00002782607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003952177,"about_ca_system_score_gemma":0.000007768678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009896844,"about_ca_topic_score_gemma":0.00001464554,"domain_scores_codex":[0.9995761,0.00003728422,0.00009662438,0.0001016174,0.00009061294,0.00009776402],"domain_scores_gemma":[0.9995333,0.00009860146,0.00003726182,0.0002804968,0.00002628239,0.00002405716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001295615,0.00002163381,0.00009325665,0.000001024192,0.00001288746,8.620722e-8,0.0002603689,0.000009501891,0.004034939,0.7133532,0.000233762,0.2819664],"study_design_scores_gemma":[0.001393349,0.0006943182,0.05761673,0.00003217051,0.0000270768,0.000008690775,0.0002860588,0.08609571,0.07428077,0.17598,0.6029663,0.00061888],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03535023,0.00007745126,0.9525592,0.001173438,0.00024568,0.0000640513,6.084708e-7,0.0001338874,0.01039549],"genre_scores_gemma":[0.9928474,0.000004122222,0.006524207,0.0001413832,0.00003991319,0.000002388336,9.283992e-8,0.000001848049,0.0004386874],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9574971,"threshold_uncertainty_score":0.1113689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01212926642094216,"score_gpt":0.2263809565451967,"score_spread":0.2142516901242545,"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."}}