{"id":"W2148389972","doi":"10.1175/2007waf2006017.1","title":"A Fuzzy Logic–Based Analog Forecasting System for Ceiling and Visibility","year":2007,"lang":"en","type":"article","venue":"Weather and Forecasting","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Visibility; Ceiling (cloud); Meteorology; Aviation; Model output statistics; Wind speed; Computer science; Environmental science; Weather forecasting; Geography; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001647647,0.0001434021,0.0002212885,0.00007257979,0.0004478015,0.00006590507,0.00006384918,0.00008041513,0.00004245491],"category_scores_gemma":[0.0002719367,0.0001052114,0.00005437744,0.0001328225,0.00007820761,0.00009950876,0.00001116573,0.00009270279,0.00000188293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005829742,"about_ca_system_score_gemma":0.00001112949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001404605,"about_ca_topic_score_gemma":0.0002926424,"domain_scores_codex":[0.998801,0.00003976278,0.0003326819,0.0003339059,0.0001096962,0.0003829849],"domain_scores_gemma":[0.9984142,0.001178192,0.0001041422,0.00009942186,0.00004882604,0.0001552262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001945757,0.00001496659,0.7630547,0.0002206378,0.00001950811,0.00001166565,0.0003217516,0.007617178,0.0001460651,0.001516069,0.000003099642,0.2268798],"study_design_scores_gemma":[0.0008654692,0.000371968,0.2320564,0.00006040716,0.00003583324,0.000027461,0.0007361729,0.7547248,0.00003879763,0.01063815,0.0001660853,0.0002784714],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9479701,0.0005262962,0.02881141,0.00002722518,0.0001014595,0.0003220407,0.0000426565,0.00006551959,0.02213332],"genre_scores_gemma":[0.9857206,0.000001311163,0.01396777,0.0001055301,0.0001402782,0.000001894255,0.00002905831,0.000004561658,0.00002903636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7471076,"threshold_uncertainty_score":0.4290397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0743895940286943,"score_gpt":0.2542090708617749,"score_spread":0.1798194768330806,"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."}}