{"id":"W4283020606","doi":"10.1038/s41597-022-01373-8","title":"PISCOeo_pm, a reference evapotranspiration gridded database based on FAO Penman-Monteith in Peru","year":2022,"lang":"en","type":"article","venue":"Scientific Data","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Government of Canada; United States Agency for International Development","keywords":"Evapotranspiration; Cru; Wind speed; Environmental science; Penman–Monteith equation; Multivariate interpolation; Meteorology; Air temperature; Climatology; Dew point; Geography; Precipitation; Mathematics; Geology; Bilinear interpolation","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001413483,0.0001204764,0.00009781417,0.0001395916,0.0004715491,0.0001495642,0.001326121,0.00002423455,0.003066736],"category_scores_gemma":[0.00003819999,0.0001145647,0.00001813741,0.0007335401,0.0001427037,0.0005596533,0.0008017553,0.000265528,0.0003158326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001755412,"about_ca_system_score_gemma":0.00005038673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005327426,"about_ca_topic_score_gemma":0.002583339,"domain_scores_codex":[0.9977363,0.0001351568,0.0002238123,0.0008726696,0.0007559037,0.000276181],"domain_scores_gemma":[0.9981071,0.00003478779,0.00006497664,0.001715621,0.000005367844,0.00007219348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004281667,0.002538865,0.07827003,0.00006077446,0.00001855495,0.0003093567,0.001764923,0.7874677,0.05353415,0.002843201,0.05050269,0.02226162],"study_design_scores_gemma":[0.0004565334,0.00005867866,0.006704668,0.00001510471,0.000009708323,0.00000435418,0.00005309834,0.9128475,0.0001061702,0.0001439406,0.07938725,0.0002130121],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9442707,0.00002903637,0.002275066,0.0007226425,0.001143565,0.000765151,0.02652635,0.00009586212,0.02417164],"genre_scores_gemma":[0.9743617,0.000001834037,0.0009987589,0.000192395,0.000008253482,0.00004028644,0.02213244,0.00001032289,0.002254065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1253798,"threshold_uncertainty_score":0.9978446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04865238788339328,"score_gpt":0.2543612250733049,"score_spread":0.2057088371899116,"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."}}