{"id":"W1965677745","doi":"10.1080/10485250310001605432","title":"Local linear extrapolation","year":2003,"lang":"en","type":"article","venue":"Journal of nonparametric statistics","topic":"Statistical and numerical algorithms","field":"Mathematics","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Centers for Disease Control and Prevention","keywords":"Mathematics; Extrapolation; Applied mathematics; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0006705227,0.0001627088,0.0004307349,0.0003057793,0.00006411605,0.00002726511,0.0001538314,0.00007787115,0.0004092275],"category_scores_gemma":[0.01055302,0.0001256002,0.000101371,0.0009088105,0.0001166864,0.00009322059,0.00001306169,0.000371096,0.00004438572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008944998,"about_ca_system_score_gemma":0.0001115559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004327065,"about_ca_topic_score_gemma":5.96484e-7,"domain_scores_codex":[0.9979245,0.0001575351,0.0008769158,0.0001238912,0.0006494985,0.0002676447],"domain_scores_gemma":[0.9940856,0.004471019,0.0005461038,0.0001472419,0.0005101665,0.0002398555],"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":[0.0001277487,0.0009461283,0.0008344188,0.0001232178,0.0002023406,0.0004080812,0.0001555523,0.0001720198,0.00006725548,0.7050142,0.03619616,0.2557529],"study_design_scores_gemma":[0.00137832,0.001044737,0.002860102,0.00004431314,0.0002444373,0.0005729552,0.0001246593,0.01657038,0.0007185145,0.9615238,0.01457202,0.0003457023],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004174476,0.0001483043,0.993769,0.00003778533,0.0004936779,0.0000778883,0.0000618211,0.00001368141,0.00122332],"genre_scores_gemma":[0.186774,0.00005415489,0.8127132,0.00006534997,0.0001109972,0.000001027238,0.000001868504,0.00002213286,0.0002572315],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2565096,"threshold_uncertainty_score":0.9977815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05460781704508855,"score_gpt":0.3460008606795083,"score_spread":0.2913930436344198,"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."}}