{"id":"W165194585","doi":"10.1007/0-306-47015-2_32","title":"High-Performance Modelling for the Mesoscale Alpine Programme (MAP) Field Experiment","year":2005,"lang":"en","type":"book-chapter","venue":"Kluwer Academic Publishers eBooks","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Mesoscale meteorology; Meteorology; Grid; Computer science; Multinational corporation; Field (mathematics); Operations research; Massively parallel; Precipitation; Geography; Environmental science; Engineering; Parallel computing; Political science; Mathematics; Geodesy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006800043,0.0004593866,0.0004594539,0.0001226598,0.0004375344,0.0002637259,0.0009255872,0.0008191221,0.003313132],"category_scores_gemma":[0.00004094042,0.0002990447,0.0002128004,0.00002749246,0.0001848919,0.0004298476,0.00005155091,0.001300085,0.0001146598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002633684,"about_ca_system_score_gemma":0.00009362559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001350014,"about_ca_topic_score_gemma":0.00003816982,"domain_scores_codex":[0.9974617,0.0000251329,0.0006616522,0.0006110154,0.000513279,0.0007272263],"domain_scores_gemma":[0.9981568,0.0007457997,0.0002746987,0.0004655786,0.00009325427,0.0002638646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000371951,0.00001961601,0.0003888513,0.0001217045,0.0004261767,0.000004195168,0.000799266,0.1752536,0.00001109369,0.03279854,0.09928817,0.6905168],"study_design_scores_gemma":[0.0004260394,0.0002428218,0.00003293878,0.00004468148,0.00009678877,0.000002352872,0.00002792868,0.09010041,0.00003833285,0.01795366,0.8905846,0.0004494413],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002254528,0.00695031,0.0083833,0.004736548,0.002284555,0.003010776,0.0001745821,0.0003154204,0.97189],"genre_scores_gemma":[0.2270973,0.0001742376,0.004439716,0.004306817,0.002811663,0.0001081047,0.0005133302,0.00004808142,0.7605008],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7912964,"threshold_uncertainty_score":0.9999462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05384798495808554,"score_gpt":0.2392876949888422,"score_spread":0.1854397100307567,"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."}}