{"id":"W2158140310","doi":"10.5194/acp-8-7055-2008","title":"Technical Note: The CCCma third generation AGCM and its extension into the middle atmosphere","year":2008,"lang":"en","type":"article","venue":"Atmospheric chemistry and physics","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":457,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Atmosphere (unit); Climatology; Polar vortex; Northern Hemisphere; General Circulation Model; Atmospheric model; Climate model; Environmental science; Atmospheric sciences; Meteorology; Third generation; Stratosphere; Climate change; Geography; Geology; Computer science; Oceanography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003390719,0.0005621666,0.0002175094,0.001062837,0.0009942183,0.001460462,0.002143319,0.0007741721,0.01375204],"category_scores_gemma":[0.01012948,0.0003135671,0.0007190155,0.001753217,0.0004525073,0.001423197,0.001598068,0.002126806,0.004337252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004699253,"about_ca_system_score_gemma":0.0163398,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6408202,"about_ca_topic_score_gemma":0.5471678,"domain_scores_codex":[0.9989673,0.0001372248,0.00004102577,0.0001122917,0.0006439718,0.00009807184],"domain_scores_gemma":[0.9943061,0.000329428,0.0001547009,0.0006701502,0.004150746,0.0003888739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001250011,0.00002487602,0.01029539,0.0002708644,0.00007353101,0.0002860969,0.0002582788,0.01492699,0.00264618,0.03371643,0.7810991,0.1562772],"study_design_scores_gemma":[0.00005339789,0.00002553222,0.01527884,0.0002033444,0.00006394269,0.0001324098,0.00007702124,0.01852179,0.002044772,0.006127496,0.9574013,0.00007007823],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03845046,0.02060748,0.3694389,0.1045439,0.053868,0.001923771,0.1974056,0.0138968,0.1998651],"genre_scores_gemma":[0.2552957,0.01069013,0.4403877,0.01294651,0.006578379,0.001392469,0.12721,0.00505391,0.1404454],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6408202,"threshold_uncertainty_score":0.7225901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01962147413300723,"score_gpt":0.2100676875688802,"score_spread":0.190446213435873,"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."}}