{"id":"W2137101945","doi":"10.1002/cjs.5550350401","title":"Stationary state space models for longitudinal data","year":2007,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"State space; Kalman filter; State-space representation; Range (aeronautics); Applied mathematics; Computer science; Mathematics; Statistics; Econometrics; Statistical physics; Algorithm; Physics; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0102261,0.0009705492,0.00157068,0.002301805,0.0006415377,0.002527713,0.00230161,0.002064519,0.005291579],"category_scores_gemma":[0.02915484,0.0008137911,0.001651124,0.001949125,0.001976187,0.003212939,0.001510624,0.002919583,0.000933432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001671314,"about_ca_system_score_gemma":0.001086605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01007039,"about_ca_topic_score_gemma":0.005688897,"domain_scores_codex":[0.9966062,0.001839484,0.0001423874,0.0006792087,0.000460579,0.0002721029],"domain_scores_gemma":[0.9748803,0.01979384,0.002169509,0.001275252,0.001621764,0.0002593687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000980318,0.00009300612,0.005307608,0.0001060023,0.0001754615,0.0001544897,0.0003921141,0.5177544,0.0005166334,0.4562933,0.00189965,0.01720935],"study_design_scores_gemma":[0.00001390346,0.00002623691,0.0007776205,0.00002036498,0.00002019321,0.00001962628,0.00004080829,0.8754016,0.00009167779,0.1225633,0.001005405,0.00001913799],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03114556,0.0005278615,0.9651059,0.0007276775,0.00008023425,0.0000578317,0.000449985,0.0002339041,0.001671062],"genre_scores_gemma":[0.8867519,0.001669899,0.09562587,0.0002540142,0.0003089413,0.0005696676,0.001960854,0.0001396505,0.01271912],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0102261,"threshold_uncertainty_score":0.05408144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3834474582654898,"score_gpt":0.3984552869877093,"score_spread":0.01500782872221945,"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."}}