{"id":"W1766891869","doi":"10.1002/met.1392","title":"Progress and challenges in forecast verification","year":2013,"lang":"en","type":"article","venue":"Meteorological Applications","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":119,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Computer science; Data assimilation; Forecast verification; Variety (cybernetics); Data science; Meteorology; Forecast skill; Artificial intelligence; 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":[0.1253264,0.001492419,0.002348039,0.004188735,0.00230686,0.01166283,0.008055207,0.005761104,0.009092755],"category_scores_gemma":[0.1877196,0.0009689637,0.001748323,0.002843166,0.008667259,0.0243168,0.00798985,0.009205786,0.003587367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005510403,"about_ca_system_score_gemma":0.0128289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0159211,"about_ca_topic_score_gemma":0.003415492,"domain_scores_codex":[0.9524047,0.02081348,0.003496474,0.006672463,0.01500933,0.001603636],"domain_scores_gemma":[0.7062465,0.186371,0.007008205,0.03110036,0.06460625,0.004667603],"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":[0.0002787129,0.0001870094,0.007254086,0.002129791,0.0001614789,0.0001611795,0.001581226,0.03246529,0.001080704,0.2504745,0.07807466,0.6261513],"study_design_scores_gemma":[0.0001399567,0.0002314367,0.005048351,0.004196978,0.00006640557,0.000372431,0.003128715,0.1234148,0.003775052,0.5256567,0.3336546,0.0003146438],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03371822,0.2134936,0.3500988,0.3391054,0.01094502,0.0002860382,0.002507273,0.004629415,0.0452163],"genre_scores_gemma":[0.5967231,0.093476,0.2651013,0.01557851,0.01351027,0.0003863713,0.004235665,0.00145485,0.009534015],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1253264,"threshold_uncertainty_score":0.6627974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07775056215445175,"score_gpt":0.2425196618618578,"score_spread":0.164769099707406,"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."}}