{"id":"W2212711554","doi":"","title":"GRASS Image Processing Environment. Application to evapotranspiration Direct Readout","year":2010,"lang":"en","type":"article","venue":"","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Global Institute for Water Security","funders":"","keywords":"Raster graphics; CUDA; Computer science; General-purpose computing on graphics processing units; Computation; Computer graphics (images); Computational science; Image processing; Graphics processing unit; Representation (politics); Parallel computing; Process (computing); Graphics; Artificial intelligence; Image (mathematics); Algorithm; Operating system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001746033,0.0005074484,0.00028497,0.0005034147,0.0002339939,0.0005411199,0.0006607953,0.0005396661,0.05777813],"category_scores_gemma":[0.0003919839,0.0002461364,0.0002767816,0.0005384694,0.0001342644,0.0003664931,0.0006070599,0.0004077352,0.02329532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000161882,"about_ca_system_score_gemma":0.0003202173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001690877,"about_ca_topic_score_gemma":0.002783931,"domain_scores_codex":[0.9999086,0.000007762836,0.000004447936,0.00002354525,0.00004614321,0.000009529366],"domain_scores_gemma":[0.9999137,0.00001511143,0.000004575495,0.00001765063,0.00003505951,0.00001394103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002147389,0.0001085381,0.001129373,0.0007308365,0.00006930737,0.0007378875,0.0002126853,0.01471201,0.1321942,0.01080556,0.2051658,0.6339191],"study_design_scores_gemma":[0.0001697438,0.0001249463,0.00573385,0.0001147514,0.00005195971,0.001278531,0.0001271017,0.2572053,0.09317908,0.01742152,0.624514,0.00007924103],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01163023,0.0009695401,0.8249109,0.0005890008,0.0004041615,0.000450442,0.009548011,0.08352873,0.06796898],"genre_scores_gemma":[0.101781,0.001406299,0.7831488,0.0005075183,0.0001851924,0.0005340691,0.01382702,0.00867247,0.08993756],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05777813,"threshold_uncertainty_score":0.1932871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01303889540628741,"score_gpt":0.2236868373195656,"score_spread":0.2106479419132782,"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."}}