{"id":"W2744444471","doi":"10.1002/cjs.11330","title":"Online updating method with new variables for big data streams","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Data Stream Mining Techniques","field":"Computer Science","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of General Medical Sciences; National Cancer Institute","keywords":"Computer science; Data stream mining; Big data; Data stream; Context (archaeology); Data mining; Set (abstract data type); Data set; Linear regression; Algorithm; Machine learning; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005696665,0.001094729,0.001996015,0.001697896,0.0008960151,0.001968292,0.003644272,0.001237059,0.002322841],"category_scores_gemma":[0.03118837,0.0008357454,0.0009346455,0.002196597,0.001011447,0.004228803,0.002029949,0.002814561,0.0009203943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008268129,"about_ca_system_score_gemma":0.002303984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005084604,"about_ca_topic_score_gemma":0.0059862,"domain_scores_codex":[0.9966207,0.0009581878,0.0002818851,0.0008655222,0.001086511,0.0001872601],"domain_scores_gemma":[0.9864795,0.007574127,0.001021394,0.002312649,0.002301718,0.0003106199],"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":[0.000474653,0.0003208889,0.008407647,0.0003024621,0.0001909803,0.000324703,0.0004826176,0.2664138,0.005577351,0.03494596,0.00783893,0.67472],"study_design_scores_gemma":[0.00003210483,0.00003736777,0.0004141039,0.00001362782,0.000024033,0.00007855501,0.00002116799,0.984908,0.001708253,0.01031668,0.002428229,0.00001800746],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005452625,0.0002912589,0.9924994,0.0001455001,0.0001181371,0.00006951291,0.00005964018,0.0009907228,0.0003732025],"genre_scores_gemma":[0.2282992,0.0006098989,0.7652011,0.0004370222,0.0005752663,0.0004583097,0.0006092594,0.0003716437,0.003438349],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005696665,"threshold_uncertainty_score":0.03012723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1247159512766345,"score_gpt":0.3397142720643705,"score_spread":0.214998320787736,"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."}}