{"id":"W636152447","doi":"10.22498/pages.17.3.128","title":"Climate variability, forcings, feedbacks and responses: The long-term perspective","year":2009,"lang":"en","type":"article","venue":"PAGES news","topic":"Climate variability and models","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Dalhousie University","funders":"Swiss Re; University of Bern; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Proxy (statistics); Perspective (graphical); Climatology; Climate change; Paleoclimatology; Climate science; Geography; Physical geography; Library science; Political science; Geology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009564558,0.0001551077,0.0001545019,0.00001816813,0.0002928189,0.00009044267,0.0002386148,0.00007191792,0.0005938553],"category_scores_gemma":[0.0002413985,0.0001063432,0.00006027935,0.0001364616,0.0002720138,0.0002192308,0.0002491996,0.0001656349,0.0001159307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001580111,"about_ca_system_score_gemma":0.000007946433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002113189,"about_ca_topic_score_gemma":0.0002699576,"domain_scores_codex":[0.9986288,0.0002018947,0.0001911278,0.0004431472,0.0001881375,0.0003468943],"domain_scores_gemma":[0.9990157,0.0003466308,0.00006083932,0.0004719927,0.00001021894,0.00009464093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006464336,0.0006598465,0.8770643,0.00004788537,0.00003350169,0.00003477046,0.01561799,0.000436657,0.01961698,0.01699255,0.002890221,0.0659589],"study_design_scores_gemma":[0.0004166567,0.0001991644,0.9648398,0.00002046143,0.00004124982,0.0000325498,0.0006950513,0.00102917,0.000414125,0.03124084,0.0008042809,0.0002666894],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9527755,0.00007326651,0.0005128174,0.008296572,0.00006562247,0.0004257339,0.00001418764,0.00006460083,0.03777168],"genre_scores_gemma":[0.9975476,0.000419316,0.0003992917,0.001239246,0.00004110914,0.00001257792,0.000002454477,0.00000842975,0.0003299656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0877755,"threshold_uncertainty_score":0.6502299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02110974805924943,"score_gpt":0.2765538486070511,"score_spread":0.2554441005478017,"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."}}