{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009362229,0.00008383252,0.00009807445,0.00001228681,0.00009729063,0.00007750811,0.0001044894,0.00002135472,0.0005067961],"category_scores_gemma":[0.000003961973,0.00005894538,0.00001800828,0.00004587077,0.00003090685,0.0001830342,0.00004573654,0.00004336145,0.000148062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003293305,"about_ca_system_score_gemma":0.000001751478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005288279,"about_ca_topic_score_gemma":0.00009054421,"domain_scores_codex":[0.9993136,0.00003058722,0.0001301565,0.0002195515,0.0001532555,0.0001528283],"domain_scores_gemma":[0.9997429,0.00002717793,0.00003238338,0.00008213604,0.000001924325,0.0001134404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005240303,0.000002870908,0.9690545,0.00003170035,0.00001039809,0.00000837994,0.00006078621,0.00005043417,0.000003796368,0.00008786489,0.0001285433,0.03055547],"study_design_scores_gemma":[0.0001845288,0.000110138,0.9923632,0.000003820201,0.00001155333,0.000001695556,0.001231583,0.003926411,0.00003399524,0.000007037711,0.002043622,0.0000823984],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954427,0.0001882296,0.0001158605,0.001623947,0.0001142284,0.0001765092,0.0000329473,0.0001124643,0.002193082],"genre_scores_gemma":[0.9978383,0.00002118097,0.001456889,0.0004901183,0.00005795896,0.000002046399,0.00009164013,0.000001654079,0.00004018287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03047307,"threshold_uncertainty_score":0.5549061,"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."}}