{"id":"W4200019380","doi":"10.3390/atmos12121657","title":"Visibility and Ceiling Nowcasting Using Artificial Intelligence Techniques for Aviation Applications","year":2021,"lang":"en","type":"article","venue":"Atmosphere","topic":"Image Enhancement Techniques","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University; Environment and Climate Change Canada","funders":"Financiadora de Estudos e Projetos","keywords":"Categorical variable; Visibility; Ceiling (cloud); Nowcasting; Computer science; Artificial intelligence; Machine learning; Statistics; Meteorology; Environmental science; Pattern recognition (psychology); Mathematics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002243759,0.0003668269,0.0002046394,0.0002990071,0.0001463598,0.0004749867,0.0003223726,0.0003649782,0.0003946849],"category_scores_gemma":[0.0007120374,0.0001288754,0.0004359814,0.0002406461,0.0001429122,0.0003402464,0.0002132793,0.0004105811,0.00009656724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002609116,"about_ca_system_score_gemma":0.0003126224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005794412,"about_ca_topic_score_gemma":0.006010975,"domain_scores_codex":[0.9999094,0.00002595619,0.000006637252,0.00001919516,0.00002758405,0.00001127728],"domain_scores_gemma":[0.9998331,0.00008409816,0.00002236755,0.00001682963,0.00003635019,0.000007166281],"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":[0.00004646671,0.00005736221,0.00446956,0.00004999433,0.00004047765,0.00005803582,0.00004675008,0.8932878,0.01378422,0.001169408,0.0002805055,0.0867095],"study_design_scores_gemma":[0.000001492301,0.00002294578,0.001112876,0.000002774983,0.00000611704,0.000007544609,0.000006443462,0.9963281,0.001914576,0.0003254392,0.0002682057,0.00000347025],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3036845,0.0005554808,0.6898059,0.0001817564,0.00008030876,0.00005997859,0.0001212421,0.0009453963,0.004565483],"genre_scores_gemma":[0.9116212,0.0001906297,0.08735049,0.00001824327,0.00001379997,0.0000297435,0.00009234812,0.00002031151,0.0006631096],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005794412,"threshold_uncertainty_score":0.01152134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04116492801534197,"score_gpt":0.3233732946843215,"score_spread":0.2822083666689795,"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."}}