{"id":"W2953933551","doi":"10.1002/env.2593","title":"Multiple change‐point models for time series","year":2019,"lang":"en","type":"article","venue":"Environmetrics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Statistic; Statistics; Bayes' theorem; Test statistic; Bayes factor; Mathematics; Series (stratigraphy); Asymptotic analysis; Statistical hypothesis testing; Econometrics; Point estimation; Bayesian probability","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":[0.0003676678,0.0001274144,0.0002416357,0.0001001783,0.00004398757,0.0000195691,0.0001365761,0.00008751702,0.0006091414],"category_scores_gemma":[0.002062899,0.0001108295,0.00006849884,0.0001884908,0.00003832438,0.0001511517,0.00006999046,0.00008820819,0.0004214958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003409159,"about_ca_system_score_gemma":0.000006122737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004578968,"about_ca_topic_score_gemma":4.209342e-7,"domain_scores_codex":[0.9991235,0.00003984848,0.000199152,0.0002222192,0.0001766586,0.0002385793],"domain_scores_gemma":[0.9970606,0.002458882,0.00007581133,0.0003128586,0.00001939768,0.00007244513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001270288,0.0004240245,0.003370053,0.0004444798,0.0000716395,0.000004729637,0.001043403,0.0001627568,0.002674421,0.8593799,0.006858154,0.1254395],"study_design_scores_gemma":[0.000611844,0.0003228892,0.001430661,0.00002206991,0.00003386533,0.000003156584,0.00005471134,0.1073778,0.00189979,0.8751345,0.01278287,0.0003257539],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02316648,0.0001145074,0.9712311,0.0001588461,0.0002027892,0.0008222097,0.0001591645,0.00006800295,0.004076884],"genre_scores_gemma":[0.07823113,0.00004757836,0.9166582,0.0001570713,0.0001092152,0.0001015079,0.00001088217,0.00004069433,0.004643733],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1251137,"threshold_uncertainty_score":0.6669672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1301761051207345,"score_gpt":0.3216197700430882,"score_spread":0.1914436649223537,"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."}}