{"id":"W2793999185","doi":"10.5194/gmd-11-2941-2018","title":"GEOS-Chem High Performance (GCHP v11-02c): a next-generation implementation of the GEOS-Chem chemical transport model for massively parallel applications","year":2018,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":148,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Scalability; Troposphere; Grid; Computer science; Massively parallel; Stratosphere; Earth system science; Usability; Aerospace engineering; Meteorology; Computational science; Environmental science; Database; Physics; Parallel computing","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":[0.001281327,0.001301705,0.0006725444,0.0004909084,0.0006258225,0.001053149,0.003933469,0.001265831,0.01356905],"category_scores_gemma":[0.001807693,0.0006705866,0.0007503261,0.001076855,0.0007449194,0.00132397,0.001375959,0.003017031,0.003913374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001241516,"about_ca_system_score_gemma":0.00294075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01840846,"about_ca_topic_score_gemma":0.01644207,"domain_scores_codex":[0.9994735,0.00009823473,0.00001807285,0.00007717065,0.0002605566,0.00007238962],"domain_scores_gemma":[0.9992422,0.0001839425,0.00003916336,0.0001613245,0.0002481951,0.0001251517],"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":[0.001266329,0.001034951,0.009802392,0.0007276618,0.0005902143,0.0007589246,0.0003866689,0.5468843,0.03655277,0.04496047,0.2812706,0.07576473],"study_design_scores_gemma":[0.0004870674,0.00008266043,0.001121836,0.00002313749,0.00003086056,0.00003206678,0.00002456287,0.9389337,0.01064313,0.002989921,0.04558931,0.00004189107],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1905333,0.001280272,0.4030139,0.002556909,0.001695087,0.00155893,0.04454096,0.2616993,0.09312131],"genre_scores_gemma":[0.411422,0.0008041741,0.4818433,0.001183777,0.0002246704,0.001422755,0.06647418,0.01856644,0.01805865],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01840846,"threshold_uncertainty_score":0.04539299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0430533679273239,"score_gpt":0.2360413756926123,"score_spread":0.1929880077652884,"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."}}