{"id":"W4386977231","doi":"10.5194/gmd-16-5427-2023","title":"The Canadian Atmospheric Model version 5 (CanAM5.0.3)","year":2023,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Environmental science; Climatology; Climate model; Radiative transfer; Atmospheric sciences; Precipitation; Atmospheric models; Atmosphere (unit); Aerosol; Meteorology; Cloud fraction; Amazonian; Water cycle; Atmospheric model; Cloud computing; Cloud cover; Climate change; Geography; Geology; Physics; Amazon rainforest; 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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007169926,0.0002324962,0.0001215127,0.000009564206,0.002738108,0.0001500801,0.0006467671,0.0000980034,0.0003455443],"category_scores_gemma":[0.00001533387,0.0001827724,0.00006124283,0.0007232967,0.000385763,0.0001656912,0.0005072876,0.0001591947,0.004741122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001712232,"about_ca_system_score_gemma":0.000240148,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01935132,"about_ca_topic_score_gemma":0.1723533,"domain_scores_codex":[0.9973091,0.00002239916,0.0002972456,0.000602446,0.0007990452,0.0009697868],"domain_scores_gemma":[0.9989699,0.00001853475,0.00006775354,0.0004969294,0.000008198146,0.0004387315],"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":[0.000004297611,0.00001299863,0.003180988,0.000001842774,0.000006287808,0.000005501179,0.0005129594,0.9489256,0.00007971397,0.0001189532,0.03091973,0.01623112],"study_design_scores_gemma":[0.0001047784,0.000004408633,0.010155,0.000003598831,0.000004822135,0.000001550113,0.0001182894,0.8861711,0.00001884413,0.0007475505,0.102436,0.0002340998],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8952467,0.00002927589,0.07374605,0.001069012,0.001004675,0.0005565111,0.00001777299,0.0002630821,0.02806689],"genre_scores_gemma":[0.7082828,0.00007856906,0.07964665,0.0005141631,0.0000138335,0.0001065521,0.00008745407,0.00005209111,0.2112178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1869639,"threshold_uncertainty_score":0.9985602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01083367367887888,"score_gpt":0.189862905862778,"score_spread":0.1790292321838991,"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."}}