{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003265909,0.00009753402,0.000107577,0.000004598343,0.000216698,0.0001798436,0.0002164098,0.00005490406,0.000007682265],"category_scores_gemma":[0.0001049674,0.0001089312,0.00003505991,0.0003030336,0.00003479433,0.0004270585,0.0001887215,0.00007586254,0.000002125268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006111219,"about_ca_system_score_gemma":0.00007398053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001511837,"about_ca_topic_score_gemma":0.00001467315,"domain_scores_codex":[0.999019,0.00003125654,0.0002501496,0.0004128476,0.0001110013,0.0001757198],"domain_scores_gemma":[0.9991344,0.0001173863,0.00009407109,0.0003813258,0.000238997,0.00003386266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000002246442,0.00005626335,0.0002654547,0.00005653813,0.000006059329,0.000001992771,0.000162122,0.00004817601,0.05322373,0.1118333,0.00001521221,0.8343289],"study_design_scores_gemma":[0.00001631288,0.00002788889,0.00005090277,0.00003846868,0.000007285686,0.000009183479,0.00007922477,0.2553754,0.6372394,0.1064829,0.0005266048,0.0001464437],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008970104,0.0001636095,0.989478,0.0001833289,0.00004710821,0.0004638879,0.000001688495,0.0003832658,0.000309042],"genre_scores_gemma":[0.3853581,0.000008577334,0.6144019,0.00006217884,0.00005866963,0.0000870759,0.000002469699,0.000006087789,0.00001495934],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8341824,"threshold_uncertainty_score":0.4442087,"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."}}