{"id":"W3102343946","doi":"10.5194/egusphere-egu2020-14755","title":"WMO Hydrological Observing System (WHOS) broker: implementation progress and outcomes","year":2020,"lang":"en","type":"article","venue":"","topic":"Environmental Monitoring and Data Management","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interoperability; Computer science; Environmental science; Telecommunications; Business; World Wide Web","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":[0.05402742,0.0008029435,0.0006917235,0.001480001,0.001672718,0.008664232,0.003474804,0.002751844,0.04353454],"category_scores_gemma":[0.05349647,0.0005175469,0.0009560711,0.002877215,0.001288761,0.006686732,0.006112859,0.002258567,0.01811213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006002105,"about_ca_system_score_gemma":0.02913732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06039643,"about_ca_topic_score_gemma":0.03120227,"domain_scores_codex":[0.9840006,0.005368219,0.001119758,0.001547181,0.00558903,0.002375246],"domain_scores_gemma":[0.9613431,0.005065945,0.002304163,0.004475208,0.01654704,0.01026458],"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":[0.004355412,0.00747035,0.04236855,0.002473799,0.0002174714,0.0003708042,0.006110461,0.002961095,0.004356087,0.01443924,0.2921738,0.622703],"study_design_scores_gemma":[0.002660443,0.004302604,0.1100996,0.002549636,0.0002965244,0.0001910163,0.01233038,0.0064524,0.005688272,0.006436212,0.8487736,0.0002192292],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3061984,0.007110309,0.0756334,0.1054522,0.005637479,0.03597848,0.08655437,0.01906288,0.3583725],"genre_scores_gemma":[0.4746681,0.006526091,0.2092964,0.01418093,0.001401982,0.01980422,0.1138193,0.00588023,0.1544228],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06039643,"threshold_uncertainty_score":0.2857277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02604749649517723,"score_gpt":0.2391225241457051,"score_spread":0.2130750276505278,"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."}}