{"id":"W2085473128","doi":"10.1239/jap/1014842829","title":"Estimation of limiting availability for a stationary bivariate process","year":2000,"lang":"en","type":"article","venue":"Journal of Applied Probability","topic":"Advanced Statistical Process Monitoring","field":"Decision Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Bivariate analysis; Mathematics; Estimator; Autoregressive model; Limiting; Applied mathematics; Statistics; Sequence (biology); Exponential function; Econometrics; Asymptotic distribution; Mathematical analysis","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005690531,0.0001397786,0.0004894761,0.0001137579,0.0001275345,0.00005686058,0.0004888014,0.00007170438,0.0002474991],"category_scores_gemma":[0.007865124,0.0001052787,0.0001244741,0.0005373913,0.0001934357,0.0005410854,0.00002739281,0.0002139565,0.00001060289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001019495,"about_ca_system_score_gemma":0.0002638172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001104734,"about_ca_topic_score_gemma":8.731341e-7,"domain_scores_codex":[0.9961385,0.00008278,0.001984027,0.0003439517,0.001232702,0.0002180259],"domain_scores_gemma":[0.9935583,0.003345775,0.001254812,0.0003249065,0.001390331,0.00012586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001790352,0.0003452439,0.001903174,0.000251755,0.00002243787,9.814547e-7,0.001150431,0.2288701,0.0004394896,0.005554708,0.00005270759,0.7596186],"study_design_scores_gemma":[0.000594742,0.0001828108,0.004516918,0.00004546337,0.00002311814,0.000004740155,0.0002343522,0.03086375,0.003834074,0.9594422,0.0001510748,0.0001067865],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7055796,0.00002543793,0.2919839,0.0001263958,0.00009876125,0.000504796,0.00003642275,0.00001364452,0.001631032],"genre_scores_gemma":[0.8252253,0.000001453157,0.1746282,0.00001724735,0.00007653589,0.00002073023,0.000002162544,0.000008449573,0.00001991435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9538875,"threshold_uncertainty_score":0.9415856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09492934663496595,"score_gpt":0.4104315656863833,"score_spread":0.3155022190514173,"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."}}