{"id":"W3145178220","doi":"","title":"Climate Change Signal Analysis for Northeast Asian Surface Temperature","year":2005,"lang":"en","type":"article","venue":"大气科学进展(英文版)","topic":"Agriculture, Soil, Plant Science","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"HadCM3; Climatology; Environmental science; Climate change; Peninsula; Global warming; Sea surface temperature; Climate model; Atmospheric sciences; General Circulation Model; GCM transcription factors; Geography; Geology; Oceanography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003606112,0.0002754931,0.0003472689,0.0000256743,0.0005459508,0.0001714133,0.0005379929,0.0001997872,0.0001466505],"category_scores_gemma":[0.00001958978,0.00009709554,0.0003136143,0.001412655,0.00007367095,0.0003942582,0.00008985191,0.000177639,0.0001586629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004134084,"about_ca_system_score_gemma":0.000006394744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002060428,"about_ca_topic_score_gemma":0.00869442,"domain_scores_codex":[0.9979371,0.000061236,0.0002813376,0.0006125094,0.0003935242,0.0007143292],"domain_scores_gemma":[0.9992592,0.0001273969,0.0001446115,0.0001057012,0.0001247732,0.0002383156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002714426,0.0008543428,0.6818856,0.00005791532,0.0004352843,0.00003603351,0.003805017,0.00109507,0.1083222,0.002310337,0.01469007,0.1862367],"study_design_scores_gemma":[0.0002673819,0.0002813748,0.9379093,0.00003382501,0.0002451935,0.00002351811,0.001537772,0.001911817,0.003988548,0.00005867506,0.05298879,0.0007538066],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915871,0.0002270858,0.000008722463,0.005360234,0.0001091289,0.000480182,0.0007085976,0.0001506899,0.001368238],"genre_scores_gemma":[0.9964223,0.00005671133,0.0005584848,0.0008065139,0.001045905,0.0000463223,0.0004479999,0.000001740408,0.0006140474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2560237,"threshold_uncertainty_score":0.485169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02255299073526008,"score_gpt":0.2193662130375818,"score_spread":0.1968132223023217,"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."}}