{"id":"W4236303875","doi":"10.5194/gmdd-8-9589-2015","title":"Sensitivity of chemical transport model simulations to the duration of chemical and transport operators: a case study with GEOS-Chem v10-01","year":2015,"lang":"en","type":"preprint","venue":"","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemical transport model; Ozone; Chemistry; Temporal resolution; Resolution (logic); Chemical reaction; Aerosol; Carbon monoxide; Chemical species; Atmospheric sciences; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002363931,0.0009327191,0.0006618116,0.0004660478,0.0008915348,0.001147429,0.001038501,0.001550003,0.001642118],"category_scores_gemma":[0.007261038,0.0005815928,0.0008932116,0.0009364554,0.0007000076,0.0009460516,0.0007117331,0.001671497,0.0001906175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001553835,"about_ca_system_score_gemma":0.001191512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04908666,"about_ca_topic_score_gemma":0.02345321,"domain_scores_codex":[0.9992955,0.0002715286,0.00005425049,0.0001116478,0.0001488239,0.000118369],"domain_scores_gemma":[0.9934818,0.004843436,0.0003092321,0.0005211228,0.0006150125,0.0002294273],"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":[0.0003070802,0.0002905248,0.01672382,0.00007890044,0.0001146304,0.0002321296,0.00007206921,0.9734752,0.003425862,0.001343511,0.0008808917,0.003055426],"study_design_scores_gemma":[0.00008945772,0.0001815436,0.004920406,0.0000115409,0.00003361518,0.00003386197,0.00009774915,0.9886293,0.004593595,0.0006074977,0.0007751156,0.00002625073],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890144,0.0001916,0.003725697,0.0004150133,0.00005923052,0.00006749587,0.001346201,0.0003938413,0.004786462],"genre_scores_gemma":[0.9944782,0.00006706046,0.004111127,0.000075297,0.000007305762,0.00003312495,0.0007596765,0.00006364501,0.0004044703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04908666,"threshold_uncertainty_score":0.09760189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02402378129745068,"score_gpt":0.2401994879171037,"score_spread":0.216175706619653,"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."}}