{"id":"W2987943406","doi":"","title":"An Assessment of Two Statistical Downscaling Techniques for Generating Daily Climate Data for Central Canada","year":2007,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Climate variability and models","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Downscaling; Climate change; Climatology; Environmental science; Geography; Computer science; Statistics; Meteorology; Precipitation; Mathematics; 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":[0.003091472,0.000154981,0.0002171068,0.00001764006,0.0002253322,0.00004465215,0.000412021,0.00006414807,0.00000941244],"category_scores_gemma":[0.0003825261,0.0001523202,0.00002973102,0.00005268769,0.00007201939,0.0002292406,0.0001672375,0.0001117089,3.9059e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002449177,"about_ca_system_score_gemma":0.0001159261,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5061439,"about_ca_topic_score_gemma":0.8193122,"domain_scores_codex":[0.9978453,0.00003575327,0.0006363887,0.0004986591,0.0003091027,0.0006747923],"domain_scores_gemma":[0.9981506,0.0008871869,0.0002387689,0.0005045657,0.00002895591,0.000189906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001804787,0.0008015867,0.3683161,0.0006310053,0.00005974236,0.00002480279,0.0004147828,0.2951942,0.2863994,0.002233927,0.002335136,0.04340883],"study_design_scores_gemma":[0.0009771369,0.0002809604,0.113374,0.0001474569,0.0001113232,0.00000742858,0.0003497514,0.8607317,0.0193645,0.0009057154,0.003120426,0.0006296388],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.881903,0.00000451346,0.1145887,0.00005907164,0.0001263367,0.000574671,0.001096716,0.00004629254,0.001600725],"genre_scores_gemma":[0.632918,0.000002756959,0.3664575,0.0000987993,0.00007254363,0.00001411778,0.0004200581,0.00001392958,0.000002277275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5655375,"threshold_uncertainty_score":0.6211436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03714351725868403,"score_gpt":0.3468049856592275,"score_spread":0.3096614684005435,"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."}}