{"id":"W1666652448","doi":"","title":"Benchmarking terrestrial models. ENSEMBLES Deliverable 6.5","year":2010,"lang":"en","type":"article","venue":"NERC Open Research Archive (Natural Environment Research Council)","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Deliverable; Benchmarking; Work (physics); Banner; Carbon cycle; Meteorology; Water cycle; Timeline; Greenhouse gas; Operations research; Environmental science; Geography; Environmental resource management; Library science; Climatology; Engineering; Computer science; Systems engineering; Ecology; Management; Archaeology","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":[0.003802287,0.002048382,0.00115393,0.001584112,0.0005092057,0.001591265,0.003153994,0.001460806,0.04911635],"category_scores_gemma":[0.009210606,0.0009921764,0.001708103,0.002287613,0.0002641248,0.002313939,0.002138261,0.002049158,0.02977786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006919008,"about_ca_system_score_gemma":0.001034141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006871323,"about_ca_topic_score_gemma":0.006958877,"domain_scores_codex":[0.9983231,0.0004187002,0.0001272652,0.0002124686,0.0007672588,0.0001511753],"domain_scores_gemma":[0.9972118,0.0007220384,0.0001311187,0.001169252,0.0005636151,0.0002022392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004773067,0.0002493189,0.00221213,0.0006614518,0.000429582,0.0001366047,0.00009167007,0.1928338,0.002780016,0.007046428,0.7167456,0.07633621],"study_design_scores_gemma":[0.0005780493,0.0003117373,0.006301319,0.0001980626,0.0001318472,0.0001599742,0.00005418334,0.4841551,0.01364765,0.02528919,0.4689327,0.0002403045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.01270948,0.0007390627,0.1183513,0.001106767,0.0009807269,0.0006914095,0.5925132,0.2159423,0.05696562],"genre_scores_gemma":[0.04160539,0.000402698,0.05680775,0.0003634233,0.0001642971,0.0008829532,0.8653516,0.02370018,0.01072168],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04911635,"threshold_uncertainty_score":0.1643106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1036959062530516,"score_gpt":0.3191298178302563,"score_spread":0.2154339115772047,"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."}}