{"id":"W4400990378","doi":"10.1002/cjs.11816","title":"Multiple change‐point detection for regression curves","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Regression; Point (geometry); Mathematics; Statistics; Computer science; Geometry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005625688,0.0001046214,0.0002130621,0.0001691,0.00009311023,0.0000676315,0.0001014326,0.00005522229,0.0001614715],"category_scores_gemma":[0.007157097,0.00008078,0.00005880671,0.0001138923,0.00005916484,0.00008707982,0.000005080298,0.0001943553,0.000005305701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001127104,"about_ca_system_score_gemma":0.0003718096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004795091,"about_ca_topic_score_gemma":0.006237081,"domain_scores_codex":[0.9991143,0.00005752687,0.0003751542,0.00009702144,0.0001364359,0.0002196055],"domain_scores_gemma":[0.9968496,0.002232526,0.0001303876,0.00009150033,0.0003279047,0.0003681137],"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":[0.00002642506,0.00001555947,0.0001545517,0.001970729,0.00006919835,0.0002911421,0.0008131874,7.270252e-7,0.0002702985,0.256816,0.1079154,0.6316568],"study_design_scores_gemma":[0.0003459325,0.0005414149,0.001088251,0.003659909,0.0001911121,0.0002131723,0.0001763663,0.01215183,0.001004493,0.9382744,0.04210519,0.0002479156],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000666166,0.001950813,0.994179,0.0004919813,0.001350795,0.0001965895,0.001035361,0.00001094896,0.0001184177],"genre_scores_gemma":[0.2529892,0.0002451173,0.7457471,0.0002489099,0.0005432015,0.00001848459,0.000008107293,0.00003811149,0.0001617552],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6814584,"threshold_uncertainty_score":0.856823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1976636785601183,"score_gpt":0.3750475710278295,"score_spread":0.1773838924677112,"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."}}