{"id":"W2066486477","doi":"10.2333/bhmk.33.179","title":"Generalized Constrained Redundancy Analysis","year":2006,"lang":"es","type":"article","venue":"Behaviormetrika","topic":"Evaluation and Optimization Models","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Redundancy (engineering); Mathematics; Variety (cybernetics); Mathematical optimization; Partial function; Applied mathematics; Algorithm; Computer science; Statistics; Discrete mathematics","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003417661,0.0003379802,0.0005321123,0.001445513,0.0001421018,0.0002721297,0.0002002986,0.0002635999,0.004589884],"category_scores_gemma":[0.00003959001,0.0003812507,0.0004386244,0.003987625,0.0000806844,0.0002004821,0.00003127304,0.000189401,0.0002127023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001746853,"about_ca_system_score_gemma":0.00008563137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002682999,"about_ca_topic_score_gemma":0.00003461489,"domain_scores_codex":[0.9977891,0.00009487117,0.0007732942,0.0003862967,0.0005313419,0.0004251097],"domain_scores_gemma":[0.9989703,0.00005851476,0.0001529933,0.000469536,0.0002087356,0.0001399268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001346936,0.0002514433,0.06125591,0.00004210022,0.0004836524,0.00001831632,0.00006814053,0.8983172,0.003031134,0.02799342,0.002989958,0.005535219],"study_design_scores_gemma":[0.003518724,0.00007649277,0.2432853,0.0000494329,0.008430799,0.000009444667,0.00004282734,0.7228439,0.004638374,0.0003267681,0.01539744,0.00138047],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7250267,0.003104029,0.227873,0.0002679303,0.0007851183,0.0007078522,0.0003780448,0.0008038457,0.04105349],"genre_scores_gemma":[0.9725273,0.0002365579,0.02191346,0.00005251206,0.0002069391,0.00003486363,0.0006227529,0.00006265802,0.004343001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2475006,"threshold_uncertainty_score":0.9998639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02380846588829615,"score_gpt":0.2890177714299983,"score_spread":0.2652093055417022,"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."}}