{"id":"W3008301777","doi":"","title":"Canadian Precipitation Analysis (CaPA): Integration of satellite precipitation data","year":2013,"lang":"en","type":"article","venue":"AGUFM","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Precipitation; Satellite; Environmental science; Remote sensing; Climatology; Meteorology; Geology; Geography; Engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002424506,0.00007169584,0.0001131282,0.0001896325,0.00006309166,0.00005702512,0.0002255315,0.00003802752,0.000989367],"category_scores_gemma":[0.00005405992,0.00006227154,0.00003608785,0.0005121685,0.0000186688,0.0005341651,0.000005608871,0.00004724453,0.0003637322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007509288,"about_ca_system_score_gemma":0.00006050547,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7618575,"about_ca_topic_score_gemma":0.8604016,"domain_scores_codex":[0.9991939,0.00005743909,0.0001843338,0.0001926227,0.0002226248,0.0001491002],"domain_scores_gemma":[0.9992728,0.00004330437,0.00009125444,0.0003390206,0.0001450503,0.0001085736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00000570555,0.00001845784,0.6063359,0.00001176661,0.0001978442,3.919827e-7,0.000873167,0.00306246,0.0009930041,0.0001069245,0.00030946,0.3880849],"study_design_scores_gemma":[0.00005521507,0.00003203873,0.9574602,0.000005732062,0.00009363101,9.863366e-8,0.0001368802,0.03986994,0.0001597086,0.001642561,0.000473448,0.0000705602],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935799,0.0001647906,0.0003469849,0.0002845935,0.0001616005,0.0002414709,0.0002239144,0.000009799223,0.004986985],"genre_scores_gemma":[0.9942731,0.0000294511,0.00114542,0.0000536108,0.00002893551,0.000001419811,0.004271559,0.000001593165,0.0001948892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3880144,"threshold_uncertainty_score":0.9999239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03837198946627102,"score_gpt":0.2375020844116137,"score_spread":0.1991300949453427,"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."}}