{"id":"W3121055005","doi":"","title":"Middle Atmosphere Climate Changes From Transient Runs With the Canadian Middle Atmosphere Model","year":2007,"lang":"en","type":"article","venue":"AGU Spring Meeting Abstracts","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Atmosphere (unit); Transient (computer programming); Environmental science; Atmospheric sciences; Climate model; Meteorology; Climate change; Climatology; Geography; Geology; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007293764,0.001020733,0.0009174621,0.001220607,0.002878044,0.001716899,0.002350684,0.001296995,0.004576531],"category_scores_gemma":[0.001989961,0.0007124912,0.001701224,0.002704742,0.0006247828,0.001073887,0.0007999304,0.001751355,0.0005547281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0114273,"about_ca_system_score_gemma":0.009964834,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9671699,"about_ca_topic_score_gemma":0.9653102,"domain_scores_codex":[0.9995259,0.00003942033,0.00002050308,0.0001448013,0.0001110203,0.0001583549],"domain_scores_gemma":[0.9990989,0.0001161887,0.00004967381,0.00009719995,0.0004157189,0.0002223478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003011695,0.0005736453,0.1437669,0.0004299812,0.001959488,0.0007200726,0.0006663321,0.7407629,0.01146457,0.004909291,0.06623925,0.02549584],"study_design_scores_gemma":[0.001374129,0.0001135903,0.421538,0.00008443867,0.0006295044,0.00008087966,0.0004298213,0.5483836,0.004898824,0.001538109,0.02051174,0.0004174403],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9252164,0.0009418845,0.002420416,0.0009334235,0.0003084416,0.00008956964,0.05445434,0.002079888,0.01355559],"genre_scores_gemma":[0.9716843,0.0001822669,0.001720705,0.0001184984,0.0000397517,0.00004537588,0.02471214,0.0003709908,0.00112602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03283006,"threshold_uncertainty_score":0.08291125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01397893855587321,"score_gpt":0.1879730904097041,"score_spread":0.1739941518538309,"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."}}