{"id":"W2902044979","doi":"","title":"A comparison of visibility parameterizations using surface observations","year":2007,"lang":"en","type":"preprint","venue":"INRIA a CCSD electronic archive server","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Visibility; Computer science; Meteorology; 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":[0.002151481,0.000885483,0.0006510427,0.00143562,0.0003853932,0.001380818,0.0007993844,0.0009035626,0.0006269989],"category_scores_gemma":[0.00798302,0.0004057677,0.001084396,0.001353672,0.0002385256,0.002346617,0.0007544872,0.0006603285,0.0003101438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007570227,"about_ca_system_score_gemma":0.0005706465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02228406,"about_ca_topic_score_gemma":0.01054346,"domain_scores_codex":[0.9991395,0.000231967,0.00005631415,0.0002393786,0.0002207831,0.0001118883],"domain_scores_gemma":[0.9966916,0.001497343,0.0002028898,0.0006636665,0.0008513482,0.00009318438],"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":[0.001932141,0.000369977,0.2082604,0.000539577,0.001005443,0.0001370832,0.0007787052,0.5230272,0.01927838,0.00380596,0.004286624,0.2365785],"study_design_scores_gemma":[0.0001180732,0.0002858484,0.1771847,0.00008139542,0.0002288437,0.0001364196,0.0003426309,0.8061827,0.01025253,0.001581721,0.003451306,0.0001537804],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8976532,0.0008867928,0.0892362,0.0001828089,0.000093542,0.0001625136,0.003581932,0.00191497,0.006288042],"genre_scores_gemma":[0.9753866,0.000232609,0.01981234,0.00002307887,0.0000135965,0.00004380883,0.00401214,0.000217631,0.0002582542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02228406,"threshold_uncertainty_score":0.04430872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05519856036760214,"score_gpt":0.3345149157658006,"score_spread":0.2793163553981984,"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."}}