{"id":"W3080371107","doi":"","title":"Expert judgments about transient climate response to alternative future trajectories of radiative forcing","year":2009,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Climate variability and models","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Radiative forcing; Forcing (mathematics); Climate change; Cloud forcing; Environmental science; Climatology; Climate sensitivity; Expert elicitation; Range (aeronautics); Global temperature; Global warming; Radiative transfer; Climate model; Climate commitment; Meteorology; Atmospheric sciences; Geography; Physics; Effects of global warming","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04150165,0.0006529454,0.0005382783,0.002384889,0.00177463,0.003145688,0.001088249,0.002676073,0.002379329],"category_scores_gemma":[0.1432594,0.0004900528,0.0009280271,0.0008904613,0.002765361,0.002925028,0.002428732,0.001679852,0.0004072306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002582781,"about_ca_system_score_gemma":0.001761938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00482194,"about_ca_topic_score_gemma":0.003642747,"domain_scores_codex":[0.9677055,0.0200437,0.002644833,0.002359223,0.005612814,0.001633882],"domain_scores_gemma":[0.8207618,0.1504585,0.008691993,0.002927916,0.01496723,0.002192523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.002620484,0.0003739248,0.1760456,0.003720781,0.0007604278,0.005781073,0.5471913,0.0448346,0.0245414,0.02818043,0.01802851,0.1479215],"study_design_scores_gemma":[0.0003708282,0.001505424,0.1336052,0.004663007,0.0007236822,0.005118038,0.5442242,0.1025918,0.01218547,0.1244165,0.06923509,0.0013607],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9208943,0.0008396042,0.03789403,0.008374839,0.0001506068,0.0002992074,0.0004598848,0.00007832547,0.03100931],"genre_scores_gemma":[0.9915405,0.0003717354,0.006418093,0.0008718455,0.00004900426,0.00009552934,0.0001620064,0.00001165819,0.0004795315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04150165,"threshold_uncertainty_score":0.2194844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01735503630427245,"score_gpt":0.2659535147381663,"score_spread":0.2485984784338938,"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."}}