{"id":"W4200491655","doi":"10.1002/cjs.11667","title":"Multivariate online regression analysis with heterogeneous streaming data","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Data Stream Mining Techniques","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Computer science; Data mining; Independent and identically distributed random variables; Kalman filter; Covariance; Artificial intelligence; Statistics; Mathematics; Random variable","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":[],"consensus_categories":[],"category_scores_codex":[0.0002052168,0.0001231751,0.0002685425,0.0003503427,0.0001033921,0.0002384963,0.001417208,0.00004028511,0.00003430928],"category_scores_gemma":[0.0003560371,0.00009947606,0.00003074268,0.0007143483,0.00005407997,0.0003772716,0.0001685636,0.0001929811,0.000001379145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009260877,"about_ca_system_score_gemma":0.001725574,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002865905,"about_ca_topic_score_gemma":0.06503287,"domain_scores_codex":[0.9988663,0.00007848212,0.0003012768,0.0002577743,0.0002488543,0.0002473638],"domain_scores_gemma":[0.9975217,0.000131722,0.0003286857,0.001096176,0.0004583633,0.0004633264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003365484,0.0003082699,0.04028871,0.00007615069,0.003360409,0.08155531,0.001853988,0.003814459,0.0004129231,0.0162193,0.05194867,0.8001282],"study_design_scores_gemma":[0.002664891,0.001499767,0.1047577,0.001638698,0.003746938,0.01018048,0.0007898994,0.7948553,0.005910718,0.007584695,0.06413981,0.002231132],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008364932,0.0001851614,0.9875174,0.0002579577,0.0001133339,0.00002501709,0.00347749,0.00001562044,0.00004310229],"genre_scores_gemma":[0.2226977,0.00002377187,0.7767064,0.00008058079,0.00003938643,1.809667e-7,0.0004041451,0.000008834055,0.000039],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.797897,"threshold_uncertainty_score":0.9520279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06687136289205717,"score_gpt":0.2921238885178779,"score_spread":0.2252525256258207,"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."}}