{"id":"W4396839024","doi":"10.1007/978-3-031-51609-2_2","title":"Change Point Analysis of the Mean","year":2023,"lang":"en","type":"book-chapter","venue":"Springer series in statistics","topic":"Spatial and Panel Data Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Point (geometry); Mathematics; Geometry","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":[0.008385039,0.0005119765,0.001122124,0.002195542,0.0006171751,0.002014084,0.001720071,0.001291437,0.00928313],"category_scores_gemma":[0.05277706,0.0003295706,0.001288692,0.001509197,0.002542205,0.003303906,0.001630553,0.002871227,0.001268274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001430787,"about_ca_system_score_gemma":0.0007439556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001310636,"about_ca_topic_score_gemma":0.0007368262,"domain_scores_codex":[0.9951726,0.00161131,0.0001504713,0.001121668,0.001625056,0.0003189719],"domain_scores_gemma":[0.9761619,0.01618356,0.001206801,0.002355585,0.003738531,0.0003535705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000101792,0.00004299488,0.003958806,0.0001684569,0.0001053392,0.0002473066,0.000506236,0.02138892,0.002972425,0.9114178,0.003684171,0.05540568],"study_design_scores_gemma":[0.0000159233,0.0001960823,0.009680842,0.00008858881,0.00007967555,0.0004593405,0.0002554344,0.2468671,0.003681605,0.7239089,0.01468616,0.00008034702],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05320278,0.00171591,0.9234812,0.001344727,0.0003637099,0.00006780079,0.0003164021,0.0003842495,0.01912321],"genre_scores_gemma":[0.7914572,0.002013737,0.1736611,0.0009149757,0.0006401519,0.0004155069,0.0008442241,0.000493239,0.02955986],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00928313,"threshold_uncertainty_score":0.04434484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08593605157632599,"score_gpt":0.2435564633946975,"score_spread":0.1576204118183715,"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."}}