{"id":"W4255735207","doi":"10.5194/gmd-2021-1","title":"Decadal climate predictions with the Canadian Earth System Model version 5 (CanESM5)","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Environment and Climate Change Canada","funders":"","keywords":"Initialization; Climatology; Predictability; Coupled model intercomparison project; Environmental science; Climate model; Earth system science; Forecast skill; Forcing (mathematics); Climate change; Meteorology; Geography; Computer science; Geology; Statistics; Oceanography; Mathematics","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":[0.0006498016,0.0005994593,0.0002627083,0.0005910635,0.0006032173,0.0008731326,0.000892349,0.0003830819,0.00312079],"category_scores_gemma":[0.001843018,0.0002200856,0.0004843424,0.001427036,0.0001635327,0.0004521355,0.0003884235,0.0006025115,0.000555191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00551792,"about_ca_system_score_gemma":0.009253777,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9413387,"about_ca_topic_score_gemma":0.9360698,"domain_scores_codex":[0.9997614,0.00002888785,0.00001042678,0.00004739783,0.0001064276,0.00004555184],"domain_scores_gemma":[0.9994617,0.00004794865,0.0000335808,0.00003477023,0.0003712998,0.0000507633],"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":[0.000290068,0.00009687472,0.05976025,0.0002058833,0.0003225575,0.00007336188,0.00009542749,0.8134869,0.001387043,0.005516883,0.06635179,0.05241299],"study_design_scores_gemma":[0.000153331,0.00004896968,0.08478717,0.00006431065,0.0001124739,0.00001538675,0.0000920145,0.8711528,0.001703507,0.001644694,0.04014453,0.0000808773],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6690546,0.002686817,0.0298553,0.003885159,0.000662286,0.0002448747,0.2310219,0.004902516,0.05768656],"genre_scores_gemma":[0.8996221,0.0008434624,0.01939137,0.0001911367,0.00004061067,0.00008728911,0.07443511,0.0002542486,0.005134588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05866128,"threshold_uncertainty_score":0.1180134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005596428296941422,"score_gpt":0.1710483650069008,"score_spread":0.1654519367099593,"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."}}