{"id":"W3020766178","doi":"10.5194/gmd-13-1975-2020","title":"The Cloud-resolving model Radar SIMulator (CR-SIM) Version 3.3: description and applications of a virtual observatory","year":2020,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Biological and Environmental Research; Office of Science; U.S. Department of Energy","keywords":"Cloud computing; Remote sensing; Lidar; Radar; Computer science; Meteorology; Sampling (signal processing); Environmental science; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005004694,0.0001324846,0.0001497924,0.00004373823,0.0008023958,0.00009157194,0.0002735686,0.00005917529,0.00009035641],"category_scores_gemma":[0.00005801466,0.00009468097,0.00003947892,0.0002707684,0.000166338,0.0001742354,0.00006396622,0.0001090086,0.00005471136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001154254,"about_ca_system_score_gemma":0.0001520285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000258028,"about_ca_topic_score_gemma":0.00006528532,"domain_scores_codex":[0.9985087,0.00004686093,0.0003812715,0.000389223,0.000404793,0.0002691391],"domain_scores_gemma":[0.9992585,0.0001303202,0.0001123112,0.0001998434,0.00008439247,0.0002146137],"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":[0.0000482953,0.00002222213,0.004319541,0.00001818685,0.0000127627,3.088523e-7,0.001170225,0.971099,0.0006688951,0.001135894,0.0005704096,0.02093424],"study_design_scores_gemma":[0.0001880837,0.00002951885,0.006938235,0.00000503502,0.00001002099,1.934087e-7,0.0001519074,0.9785715,0.00005593107,0.001829074,0.0120979,0.000122653],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6924455,0.0003016068,0.3057935,0.0002236808,0.0001546725,0.0003740354,0.00009007277,0.00004075854,0.0005761578],"genre_scores_gemma":[0.9888705,0.00003064516,0.009994886,0.0002486402,0.00003144982,0.000006120779,0.000114567,0.00000362646,0.0006995584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.296425,"threshold_uncertainty_score":0.6171461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04570921190194439,"score_gpt":0.2095586722781578,"score_spread":0.1638494603762134,"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."}}