{"id":"W1529951941","doi":"10.1023/a:1017510420686","title":"Modeling and Smoothing Unequally Spaced Sequence Data","year":2001,"lang":"en","type":"article","venue":"Statistical Inference for Stochastic Processes","topic":"Control Systems and Identification","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Smoothing; Kalman filter; Mathematics; Applied mathematics; Sequence (biology); Continuous modelling; State space; Algorithm; Computer science; Mathematical analysis; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007551922,0.0007334208,0.001447831,0.001978168,0.0006153029,0.001471775,0.002228853,0.002267547,0.001117763],"category_scores_gemma":[0.03649371,0.001120157,0.001220793,0.002320435,0.001486694,0.003608358,0.002173699,0.002587528,0.0004072585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007577026,"about_ca_system_score_gemma":0.0007237766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001970703,"about_ca_topic_score_gemma":0.001853513,"domain_scores_codex":[0.9968976,0.001191189,0.0002464546,0.0007917452,0.0006913659,0.0001816484],"domain_scores_gemma":[0.9804719,0.01343271,0.001384571,0.003447382,0.001043811,0.0002195747],"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":[0.0003080422,0.0001344042,0.004176335,0.0002457536,0.0002083409,0.0002151989,0.0003376276,0.721379,0.008166833,0.1148954,0.000910587,0.1490225],"study_design_scores_gemma":[0.00001012792,0.00002438305,0.0005765195,0.00001135335,0.00002073264,0.00005627215,0.00001615886,0.9566166,0.001965088,0.04014943,0.0005368543,0.00001658164],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01526665,0.0001665036,0.9841718,0.00007324687,0.00004153901,0.000009662904,0.00002636214,0.0001121498,0.0001320807],"genre_scores_gemma":[0.5687292,0.0008025561,0.4266696,0.0001653713,0.0003204003,0.0001410795,0.0006524103,0.0001727028,0.00234673],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007551922,"threshold_uncertainty_score":0.03993887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08672582839634553,"score_gpt":0.332570137182454,"score_spread":0.2458443087861085,"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."}}