{"id":"W2369940991","doi":"","title":"Outlook of International Aeronautical Meteorological Forecast","year":2009,"lang":"en","type":"article","venue":"Guangdong Meteorology","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Variety (cybernetics); Aviation; Probabilistic logic; Computer science; Weather forecasting; Meteorology; Operations research; Environmental science; Engineering; Geography; Artificial intelligence","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":[0.001910208,0.001235034,0.0004389133,0.002443357,0.0004001778,0.001866911,0.0005413497,0.001062303,0.0197871],"category_scores_gemma":[0.002044793,0.0001564389,0.0004325142,0.002499517,0.000186582,0.002403876,0.0006316316,0.00156845,0.01193633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001159039,"about_ca_system_score_gemma":0.002668817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008601313,"about_ca_topic_score_gemma":0.006218601,"domain_scores_codex":[0.9996032,0.00004885065,0.00003022101,0.00005112947,0.000211552,0.00005499251],"domain_scores_gemma":[0.9984602,0.0001083925,0.0001382449,0.00005205823,0.001000487,0.0002406565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003727007,0.0000781934,0.003223978,0.0008808435,0.00004198392,0.00008047849,0.00004141287,0.003023955,0.001648319,0.008519929,0.7090279,0.2730603],"study_design_scores_gemma":[0.00001834775,0.00007941945,0.007885226,0.0002932866,0.00003496695,0.00005003881,0.00006310849,0.001910283,0.0004248711,0.00180602,0.9874181,0.0000164797],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02155492,0.3290263,0.01777349,0.05397392,0.06990653,0.0002947687,0.06480545,0.005456217,0.4372084],"genre_scores_gemma":[0.1368076,0.3412158,0.0404846,0.01075306,0.02270117,0.0006394256,0.15461,0.0009251498,0.2918632],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0197871,"threshold_uncertainty_score":0.06619447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03272675703901148,"score_gpt":0.2571701589577663,"score_spread":0.2244434019187548,"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."}}