{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005727063,0.0008901606,0.0006737892,0.004352832,0.001135628,0.0003355058,0.001627462,0.0007411537,0.003819971],"category_scores_gemma":[0.0000144082,0.001322296,0.0006622404,0.004466374,0.0005097704,0.00405086,0.001582476,0.001008368,0.0001750979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001774259,"about_ca_system_score_gemma":0.001406473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001092965,"about_ca_topic_score_gemma":0.00002123923,"domain_scores_codex":[0.9962337,0.0002208331,0.000291546,0.001411318,0.0009701075,0.0008724989],"domain_scores_gemma":[0.9977031,0.00008495556,0.0007728304,0.0008269141,0.00006165104,0.0005505324],"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":[0.0004839211,0.0004086497,0.007489136,0.0001094462,0.0007046005,0.0009261158,0.0001625749,0.03769568,0.00003983669,0.02850351,0.9229197,0.0005568221],"study_design_scores_gemma":[0.0008632683,0.00006291304,0.00004114458,0.0002467229,0.0003528499,0.0001002806,0.00113861,0.09265279,0.000003304522,0.0001926502,0.9031411,0.001204406],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002309862,0.0001030566,0.007330339,0.00006097114,0.0001753165,0.0009930616,0.01825806,0.005022366,0.9657469],"genre_scores_gemma":[0.007062426,0.00004183788,0.01416866,0.00008557276,0.0005363322,7.045293e-7,0.009771401,0.001276286,0.9670568],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05495711,"threshold_uncertainty_score":0.9989226,"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."}}