{"id":"W2991698859","doi":"10.1007/s10584-019-02591-7","title":"Probable maximum precipitation in a warming climate over North America in CanRCM4 and CRCM5","year":2019,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate variability and models","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada; Pacific Institute for Climate Solutions; University of Victoria","funders":"Global Water Futures","keywords":"Precipitation; Climatology; Environmental science; Global warming; Climate simulation; Climate change; Atmospheric sciences; Meteorology; Climate model; Geography; Oceanography; Geology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003448212,0.0001292133,0.0002094538,0.0000711462,0.00003535202,0.00002949922,0.00010242,0.00005580269,0.001176938],"category_scores_gemma":[0.00003812541,0.0001246506,0.00002287697,0.0003088768,0.00007063637,0.0004436401,0.000211839,0.0001123795,0.0002605812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002349072,"about_ca_system_score_gemma":0.00000549787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001598184,"about_ca_topic_score_gemma":0.009358693,"domain_scores_codex":[0.9987512,0.00005158358,0.0002885441,0.0003476074,0.0001686167,0.0003924894],"domain_scores_gemma":[0.9995353,0.00009499972,0.00008402821,0.0002219569,0.000003658522,0.00006001776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002130193,0.0001078137,0.9868242,0.0001840383,0.000001348374,0.000003676976,0.007593655,0.001140217,0.0002424245,0.00002481794,0.00001598854,0.003840559],"study_design_scores_gemma":[0.0008740647,0.00009191828,0.9044256,0.0001385649,0.000006868114,0.000002679724,0.000437227,0.0915864,0.00001021849,0.001476786,0.0007060234,0.0002436132],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951029,0.00003109421,0.00001333893,0.0001586977,0.00009762663,0.0009031603,0.00001499485,0.00002026086,0.003657861],"genre_scores_gemma":[0.9984429,0.000163612,0.0007935903,0.0002946908,0.00001304277,0.0001718299,0.00002498196,0.00001347665,0.0000818376],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09044618,"threshold_uncertainty_score":0.9997361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02790923174620533,"score_gpt":0.2461904033214442,"score_spread":0.2182811715752389,"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."}}