{"id":"W4247192766","doi":"10.1002/9780470057339.vag021","title":"Global Environmental Change","year":2006,"lang":"en","type":"other","venue":"Encyclopedia of Environmetrics","topic":"Climate variability and models","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Forcing (mathematics); Environmental science; Greenhouse gas; Climate change; Natural (archaeology); Climatology; Atmospheric sciences; Attribution; Atmosphere (unit); Climate model; Transient climate simulation; Cloud forcing; Global warming; Greenhouse effect; Meteorology; Geography; Ecology; Geology; Biology","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":["insufficient_payload"],"category_scores_codex":[0.0001959508,0.0004831698,0.0005340301,0.0001911703,0.00004407622,0.000009091254,0.0005478567,0.000599065,0.02126123],"category_scores_gemma":[0.00004271917,0.0004970228,0.0002133932,0.0005744141,0.0005156075,0.0001083451,0.00059067,0.0001950299,0.0015638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004125393,"about_ca_system_score_gemma":0.000007882619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003351261,"about_ca_topic_score_gemma":0.0004595059,"domain_scores_codex":[0.997466,0.00007026432,0.0004686278,0.0007384063,0.0007613872,0.0004952899],"domain_scores_gemma":[0.9985278,0.00006681959,0.0004258002,0.0008125379,6.836444e-7,0.0001663354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007156179,0.0006335838,0.2700971,0.00005782766,0.00002992605,0.00001764725,0.00004592155,0.0001939223,0.0000141821,0.00007433799,0.7153029,0.01352547],"study_design_scores_gemma":[0.0002683512,0.00005985317,0.05033042,0.00002035394,0.00007837801,0.000003798622,0.000007411269,0.00009560124,0.000002721473,0.0002457039,0.9484134,0.000474026],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003363677,0.00123843,0.0003522083,0.00002579547,0.0004550069,0.0006288865,0.001304315,0.0001078678,0.9925238],"genre_scores_gemma":[0.01758274,0.01516801,0.007609268,0.0002419515,0.001003002,0.0001478816,0.00080821,0.0007929719,0.956646],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2331104,"threshold_uncertainty_score":0.9997482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01401432046815637,"score_gpt":0.2199646383978226,"score_spread":0.2059503179296663,"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."}}