{"id":"W3111771036","doi":"","title":"Precipitation climatology and impact on vegetation productivity in the Yukon-Kuskokwim Delta, Southwest Alaska","year":2019,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Precipitation; Productivity; Vegetation (pathology); Delta; Climatology; Geography; Physical geography; Environmental science; Meteorology; Geology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001853581,0.0001344117,0.0001434056,0.0006342711,0.000512067,0.0005886741,0.0001917068,0.0002074441,0.000840685],"category_scores_gemma":[0.000481106,0.0001075135,0.0002064664,0.0007539992,0.0002565464,0.0002809231,0.0004522609,0.0001494821,0.0001055298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001126727,"about_ca_system_score_gemma":0.0008350139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2163819,"about_ca_topic_score_gemma":0.4262833,"domain_scores_codex":[0.9999316,0.0000120999,0.00001073195,0.00001690606,0.00001041711,0.00001834544],"domain_scores_gemma":[0.9997475,0.00004439128,0.00005747711,0.00001500904,0.00007831481,0.00005737989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009013794,0.00002069836,0.9950281,0.00001551552,0.00006083725,0.0001495076,0.0002921929,0.0007001914,0.0009719743,0.00007134184,0.000166854,0.002432683],"study_design_scores_gemma":[0.000001974124,0.000006015673,0.9990703,0.000003582372,0.00001258217,0.00002735435,0.0004146607,0.000242094,0.00005606376,0.0000154313,0.0001483372,0.00000148031],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994386,0.00005325384,0.000008755996,0.00001864701,0.000001700003,4.626111e-7,0.0001969211,0.000002174293,0.0002795618],"genre_scores_gemma":[0.9995288,0.00005251446,0.00001458188,0.000006259028,0.000001147508,9.035328e-7,0.000202906,0.00000100566,0.0001919843],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2163819,"threshold_uncertainty_score":0.4302449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02577683782247932,"score_gpt":0.2592146319296433,"score_spread":0.233437794107164,"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."}}