{"id":"W2335454113","doi":"10.1061/41173(414)464","title":"Statistical Downscaling of Daily Rainfall Processes for Climate-Related Impact Assessment Studies","year":2011,"lang":"en","type":"article","venue":"World Environmental and Water Resources Congress 2011","topic":"Climate variability and models","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Downscaling; Environmental science; Climatology; Impact assessment; Computer science; Climate change; Geology; Oceanography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004325604,0.0002761876,0.000390637,0.00005761979,0.00020637,0.00002226338,0.0001910798,0.00006739349,0.004162729],"category_scores_gemma":[0.0000107997,0.0001793429,0.00008336909,0.00004187833,0.0009586718,0.0002221507,0.0004547238,0.000112877,0.00007218743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009667481,"about_ca_system_score_gemma":0.000003313138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002440154,"about_ca_topic_score_gemma":0.00009371945,"domain_scores_codex":[0.9982749,0.00006678746,0.0004838428,0.0004716755,0.0002129788,0.000489769],"domain_scores_gemma":[0.9993305,0.0001487032,0.0001272835,0.0002338494,0.000005760883,0.0001539581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005014156,0.0006931936,0.9610169,0.0004808012,0.0002843768,0.00001009983,0.01614741,0.0006295947,0.01699274,0.0002065523,0.000394307,0.002642638],"study_design_scores_gemma":[0.005262112,0.001712725,0.9249061,0.0002305639,0.0006421158,0.00004572263,0.003251947,0.003559496,0.02626861,0.01752713,0.01478313,0.001810387],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964915,0.0002859361,0.0001011318,0.00005831242,0.00008454793,0.0004777375,0.0002610847,0.00003094838,0.002208835],"genre_scores_gemma":[0.9969979,0.0003123714,0.001911901,0.00004940164,0.00001299088,0.00007384008,0.00006998098,0.00002612244,0.0005455086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03611081,"threshold_uncertainty_score":0.9967476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02997410499631006,"score_gpt":0.2702594693929375,"score_spread":0.2402853643966274,"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."}}