{"id":"W1591252944","doi":"10.1002/0470848944.hsa028","title":"Weather Patterns and Weather Types","year":2005,"lang":"en","type":"other","venue":"Encyclopedia of Hydrological Sciences","topic":"Climate variability and models","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Weather patterns; Tourism; Meteorology; Weather forecasting; Atmosphere (unit); Environmental science; Computer science; Quality (philosophy); Geography; Climate change; Ecology","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":[0.0004060506,0.0002589799,0.0001677066,0.002324842,0.0002490427,0.002562087,0.0003050324,0.0002217904,0.02235011],"category_scores_gemma":[0.002672285,0.00009462128,0.0001311833,0.006145934,0.0003850826,0.001475429,0.0006586459,0.0004913728,0.00308179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004170911,"about_ca_system_score_gemma":0.0003319811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005098863,"about_ca_topic_score_gemma":0.005095816,"domain_scores_codex":[0.999638,0.00006976313,0.00006002538,0.00006886422,0.0001377634,0.0000256058],"domain_scores_gemma":[0.998848,0.0002864801,0.0003418094,0.0001399464,0.0003163081,0.00006750476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003813666,0.00007088688,0.08695748,0.001084005,0.00009356166,0.0001801751,0.001529876,0.007668479,0.003157329,0.2142628,0.1744768,0.5101372],"study_design_scores_gemma":[0.00003146073,0.00004950968,0.1704334,0.0004684654,0.00004934202,0.0003806442,0.002129893,0.01303211,0.002230007,0.08915489,0.721976,0.00006430805],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1575327,0.01309327,0.1039615,0.0052101,0.001583642,0.0006667494,0.1516388,0.002098616,0.5642146],"genre_scores_gemma":[0.7661411,0.0108593,0.06672789,0.0005765995,0.0006545821,0.0003967391,0.06532612,0.0003471291,0.08897061],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02235011,"threshold_uncertainty_score":0.07476854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01377479659560807,"score_gpt":0.2417573825098209,"score_spread":0.2279825859142129,"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."}}