{"id":"W3020057449","doi":"","title":"Projected changes to precipitation extremes over the Canadian Prairies using multi-RCM ensemble","year":2016,"lang":"en","type":"article","venue":"AGUFM","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Precipitation; Environmental science; Physical geography; Geography; Meteorology; Climatology; Geology","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":[],"consensus_categories":[],"category_scores_codex":[0.0001592534,0.00007579024,0.00007458043,0.00007118424,0.0003451881,0.00005232185,0.0001169528,0.00004265378,0.0009132416],"category_scores_gemma":[0.0002203475,0.00003615559,0.00001787122,0.0001788514,0.00005168379,0.0001129246,0.000006267811,0.00003597891,0.0001916634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001223835,"about_ca_system_score_gemma":0.00007496216,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.198351,"about_ca_topic_score_gemma":0.9524197,"domain_scores_codex":[0.9993102,0.00008038023,0.00008809496,0.0001530643,0.0001228542,0.0002454027],"domain_scores_gemma":[0.9994338,0.0002247324,0.00003121164,0.0001310327,0.00004429894,0.00013488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005727627,0.00002299235,0.7562714,0.00001036399,0.00004526345,0.000008780439,0.004242594,0.01240298,0.002904639,0.000746957,0.001571731,0.221715],"study_design_scores_gemma":[0.0001375933,0.00007183341,0.970621,0.000007989348,0.00000796171,0.000001151267,0.00006419914,0.01071247,0.00005912771,0.0005840904,0.01763052,0.0001020361],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913032,0.0001087582,0.0007602367,0.00507901,0.0001847919,0.0003391424,0.00005355975,0.00003065131,0.002140669],"genre_scores_gemma":[0.996231,0.000003527057,0.00190235,0.0008999521,0.00008254203,0.000003184839,0.00001714026,0.000002217225,0.0008581526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7540687,"threshold_uncertainty_score":0.9999355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08858241439745099,"score_gpt":0.275603286158147,"score_spread":0.187020871760696,"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."}}