{"id":"W4309026333","doi":"10.3390/e24111652","title":"A New Class of Weighted CUSUM Statistics","year":2022,"lang":"en","type":"article","venue":"Entropy","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"CUSUM; Mathematics; Statistics; Statistic; Poisson distribution; Exponential family; Applied mathematics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001830774,0.0000772022,0.0001940236,0.00003630693,0.00006409825,0.000007441566,0.0001502537,0.00001774804,0.008349601],"category_scores_gemma":[0.0006277926,0.00006979272,0.00003244812,0.0001301628,0.00002820938,0.00001261717,0.0001020593,0.0001494065,0.00001844926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003626685,"about_ca_system_score_gemma":0.00008016801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003820418,"about_ca_topic_score_gemma":0.000001545565,"domain_scores_codex":[0.9990357,0.0001469551,0.0002521096,0.0001198115,0.0002874234,0.0001579666],"domain_scores_gemma":[0.9986554,0.000912656,0.0001141211,0.0002001945,0.00004044872,0.00007713505],"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":[0.00002261136,0.00005739251,0.0001737505,0.00002151274,0.00001599436,0.000007306345,0.0001528,9.975624e-7,0.0007400799,0.9201595,0.06783245,0.01081558],"study_design_scores_gemma":[0.0003848669,0.0001851336,0.0003096345,0.000005748,0.0000305325,0.00000362917,0.00008427376,0.002902753,0.001127963,0.9714775,0.02339572,0.00009226201],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005028766,0.0000345903,0.9907024,0.0001608014,0.0002669569,0.0001142322,0.0003175865,0.00003234495,0.003342339],"genre_scores_gemma":[0.03992214,0.000004394427,0.9580852,0.00008029299,0.00005662249,0.00001161204,0.000007933075,0.00001519923,0.001816556],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05131795,"threshold_uncertainty_score":0.9925569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04984584950384685,"score_gpt":0.3466816758783529,"score_spread":0.296835826374506,"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."}}