{"id":"W7028762036","doi":"","title":"General Circulation Model Regional Predictions Using MOS techniques: Seasonal Forecasting","year":2022,"lang":"en","type":"other","venue":"York University Digital Library (York University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Precipitation; Climate model; Sea surface temperature; General Circulation Model; Downscaling; Forecast skill; Climate change; Ensemble average; Scale (ratio); Model output statistics","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":[0.0003189037,0.0003542262,0.0002182387,0.0004555738,0.0001377804,0.0004058617,0.0004253841,0.0002412303,0.00236766],"category_scores_gemma":[0.001038646,0.0001399608,0.0002912212,0.0007309254,0.00007842353,0.0003928248,0.0001861771,0.0003175215,0.0005612302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005047703,"about_ca_system_score_gemma":0.0005762717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09356064,"about_ca_topic_score_gemma":0.0834238,"domain_scores_codex":[0.9999136,0.00001649263,0.000005684225,0.00002417634,0.00002869787,0.00001128246],"domain_scores_gemma":[0.9998221,0.00003440509,0.00003072251,0.00002539898,0.00007308981,0.00001435772],"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":[0.00007825845,0.00004051965,0.03352406,0.00005293389,0.0001000898,0.00005787015,0.0000496656,0.8835414,0.002326709,0.003319259,0.01001781,0.06689147],"study_design_scores_gemma":[0.00001095523,0.000006034621,0.00752655,0.000003842953,0.000009063983,0.000003504191,0.000009236182,0.9890252,0.0003975337,0.0004549754,0.002546273,0.000006840562],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6679006,0.001002211,0.231485,0.0008375867,0.0003271284,0.000192237,0.03874114,0.008500327,0.05101373],"genre_scores_gemma":[0.9438145,0.0003723166,0.03952165,0.00004951422,0.00008383985,0.00007577254,0.01151914,0.0002529688,0.004310302],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.09356064,"threshold_uncertainty_score":0.1860321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04054475243171425,"score_gpt":0.1863722689936423,"score_spread":0.1458275165619281,"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."}}