{"id":"W3027702280","doi":"10.1007/978-3-030-46161-4_22","title":"Simultaneous Multiple Change Points Estimation in Generalized Linear Models","year":2020,"lang":"en","type":"book-chapter","venue":"","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Mathematics; Estimator; Sequence (biology); Consistency (knowledge bases); Change detection; Log-linear model; Applied mathematics; Linear regression; Model selection; Linear model; Matrix (chemical analysis); Generalized linear model; Mathematical optimization; Statistics; Algorithm; Computer science; Discrete mathematics; Artificial intelligence","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001861372,0.0003398251,0.0006384715,0.00009767855,0.00002818765,0.0000226234,0.0001685286,0.0003364102,0.001100308],"category_scores_gemma":[0.002465237,0.0002960261,0.00009441992,0.00003295937,0.00004222156,0.00006221475,0.00009783429,0.0003607929,0.0002009204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006387354,"about_ca_system_score_gemma":0.00003103228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007219479,"about_ca_topic_score_gemma":0.00006139431,"domain_scores_codex":[0.9984888,0.00004730954,0.0005623468,0.0004034221,0.0002930548,0.0002050277],"domain_scores_gemma":[0.9969692,0.002330262,0.0001775717,0.0002963579,0.00009925473,0.0001274182],"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":[0.00003192329,0.0000217075,7.129994e-7,0.0001499326,0.00001938611,0.00006866937,0.000191744,0.0002410159,0.000006919714,0.9758624,0.0002534405,0.02315208],"study_design_scores_gemma":[0.0002394641,0.0000347147,3.102311e-7,0.0001073948,0.00002027682,0.000001837718,0.000001890291,0.4971714,0.00001425296,0.5015358,0.0006907097,0.0001819268],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00002332436,0.00005495398,0.7839811,0.0003087168,0.0001154652,0.00074051,0.0001561738,0.00014455,0.2144752],"genre_scores_gemma":[0.003287149,0.00006998636,0.9519393,0.0006366851,0.000149433,0.00004046649,0.00005932132,0.00008928202,0.04372832],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4969304,"threshold_uncertainty_score":0.9999492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2303856945709302,"score_gpt":0.3750545856672883,"score_spread":0.1446688910963581,"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."}}