{"id":"W2981322793","doi":"10.5194/isprs-archives-xlii-3-w9-165-2019","title":"COMPARING A RANGE OF SIMPLE PLUME RISE MODELS AND MISR AEROSOL HEIGHT MEASUREMENTS","year":2019,"lang":"en","type":"article","venue":"˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aerosol; Plume; Environmental science; Range (aeronautics); Wind speed; Atmospheric sciences; Meteorology; Spatial distribution; Climatology; Statistics; Geography; Mathematics; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001375332,0.001211339,0.000798173,0.0006953361,0.0004081532,0.0009448036,0.001539986,0.001281124,0.000881442],"category_scores_gemma":[0.002832416,0.0004620932,0.001296314,0.0007806933,0.0003914299,0.0009609226,0.0004697736,0.0006592297,0.0003157026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001370242,"about_ca_system_score_gemma":0.0007107567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0662963,"about_ca_topic_score_gemma":0.03908883,"domain_scores_codex":[0.9995091,0.0001428403,0.00004358792,0.0001528821,0.00009487504,0.00005675917],"domain_scores_gemma":[0.9987836,0.0005645175,0.0001295528,0.0001920236,0.0002463009,0.00008388347],"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":[0.0001436685,0.00009953565,0.02425469,0.00005632099,0.0001401806,0.00007775537,0.00003762734,0.9674969,0.001692588,0.0002998482,0.0003503824,0.005350512],"study_design_scores_gemma":[0.00003023636,0.00005406554,0.007607295,0.000005759576,0.0000184966,0.0000174999,0.00002219025,0.9910975,0.0008163552,0.0001169337,0.0001979634,0.00001591871],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860734,0.0002432475,0.009130146,0.0002074087,0.00004640437,0.000049279,0.001479945,0.0008046633,0.001965556],"genre_scores_gemma":[0.9931765,0.00005837224,0.00508403,0.00003546606,0.00001225716,0.00002196202,0.001226221,0.00006645606,0.0003187176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0662963,"threshold_uncertainty_score":0.1318209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02996143480842913,"score_gpt":0.2407063134868835,"score_spread":0.2107448786784543,"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."}}