{"id":"W6908319840","doi":"10.26050/wdcc/ar6.c6spcccess126","title":"IPCC DDC: CCCma CanESM5-CanOE model output prepared for CMIP6 ScenarioMIP ssp126","year":2019,"lang":"en","type":"dataset","venue":"World Data Center for Climate","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coupled model intercomparison project; Climate model; Earth system science; Climate change; Downscaling; Climate system; Grid","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.002503824,0.002318889,0.002933535,0.001669058,0.0006594015,0.0009053105,0.009292289,0.0006230848,0.000327447],"category_scores_gemma":[0.0005633408,0.00234917,0.0009269724,0.0007855634,0.0003976086,0.001583686,0.006274783,0.001030214,0.008162748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001111025,"about_ca_system_score_gemma":0.0009081152,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009637328,"about_ca_topic_score_gemma":0.04917543,"domain_scores_codex":[0.9872356,0.0002133575,0.002448856,0.004739871,0.001362143,0.004000153],"domain_scores_gemma":[0.9812562,0.0006205147,0.002461571,0.01435883,0.0005545053,0.0007483031],"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":[0.004185556,0.0009003789,0.0001623329,0.004769579,0.0008672621,0.00002001895,0.00004999142,0.0006504724,0.00002505303,0.00004776815,0.9880658,0.0002558164],"study_design_scores_gemma":[0.006908856,0.0001860255,0.00001573415,0.001033095,0.001654804,0.00002847322,0.00002694621,0.06784011,0.00001703157,0.00006531966,0.9199907,0.00223288],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005494402,0.0003030728,0.000402172,0.0002491758,0.003739511,0.009488639,0.9851171,0.0004218558,0.0002234944],"genre_scores_gemma":[0.00005356505,0.0003100322,0.005639817,0.001263682,0.00108129,0.001718189,0.9834684,0.00110808,0.005356967],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06807505,"threshold_uncertainty_score":0.998955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1486120674506847,"score_gpt":0.3685786831543753,"score_spread":0.2199666157036905,"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."}}