{"id":"W3129161549","doi":"10.1002/qj.3996","title":"Representativity of cloud‐profiling radar observations for data assimilation in numerical weather prediction","year":2021,"lang":"en","type":"article","venue":"Quarterly Journal of the Royal Meteorological Society","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acadia University; Environment and Climate Change Canada","funders":"","keywords":"Numerical weather prediction; Remote sensing; Data assimilation; Nadir; Meteorology; Radar; Environmental science; Cloud top; Radiance; Satellite; Profiling (computer programming); Cloud computing; Computer science; Geology; Geography; Physics","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":[0.001204031,0.0005046204,0.0006070029,0.0004887992,0.0004083934,0.001212833,0.0007036348,0.0005185639,0.001018826],"category_scores_gemma":[0.002789328,0.0003770485,0.0003940845,0.0005771949,0.0003258363,0.0007376753,0.0007027297,0.0008309002,0.0003571359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007203553,"about_ca_system_score_gemma":0.0008740674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009016738,"about_ca_topic_score_gemma":0.008884672,"domain_scores_codex":[0.9996668,0.0001039818,0.000022727,0.00008475067,0.0000758819,0.00004578143],"domain_scores_gemma":[0.999262,0.0002921835,0.0001070276,0.0001204036,0.0001850961,0.00003331573],"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":[0.0002406944,0.0001191025,0.006291158,0.00004282442,0.00005785856,0.00007649262,0.00007748121,0.8262792,0.01294854,0.00547064,0.0007557143,0.1476403],"study_design_scores_gemma":[0.000006287718,0.000008659716,0.0003897348,0.00000233439,0.000003088341,0.000003837766,0.000005410199,0.9971766,0.001677837,0.0004892726,0.0002337182,0.000003170534],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1182658,0.0001393352,0.8781145,0.000132781,0.00003486032,0.00009539771,0.0001534425,0.001046103,0.002017855],"genre_scores_gemma":[0.7468717,0.00008133575,0.2513596,0.00004917405,0.00002638697,0.00009692806,0.0003431527,0.00008412266,0.001087601],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009016738,"threshold_uncertainty_score":0.01792854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04767254118928195,"score_gpt":0.2762803196747009,"score_spread":0.228607778485419,"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."}}