{"id":"W3211473442","doi":"10.1002/essoar.10508682.1","title":"DataStream's open data platform for sharing water quality data","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Walter and Duncan Gordon Foundation","funders":"","keywords":"World Wide Web; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["open_science"],"category_scores_codex":[0.003828162,0.0003831993,0.0005665699,0.00001899984,0.000260591,0.001231446,0.02108548,0.0003238803,0.0110914],"category_scores_gemma":[0.0006248019,0.0002639603,0.00005355942,0.00007096703,0.0001884301,0.001610387,0.323606,0.0005770188,0.0004008833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001562719,"about_ca_system_score_gemma":0.00004151647,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01315637,"about_ca_topic_score_gemma":0.003876495,"domain_scores_codex":[0.9949138,0.00005937387,0.0006685577,0.003245608,0.00044291,0.0006698063],"domain_scores_gemma":[0.9880931,0.0001456192,0.0001753653,0.01138433,0.00001189084,0.0001897178],"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":[0.0006421189,0.002855973,0.05141496,0.001557153,0.001173714,0.0002489693,0.001843311,0.09551761,0.009972989,0.0008559133,0.5784536,0.2554637],"study_design_scores_gemma":[0.001258399,0.00009045038,0.003162237,0.0002798132,0.0002572773,0.00003312234,0.000130274,0.6559791,0.002779006,0.01038101,0.3234694,0.002179903],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8801025,0.00004108705,0.03412577,0.003011429,0.001544573,0.003587559,0.02262967,0.0004432626,0.05451414],"genre_scores_gemma":[0.5033507,0.00001921059,0.1953225,0.001473465,0.0002777053,0.0001028482,0.2946955,0.00009372547,0.004664265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5604615,"threshold_uncertainty_score":0.9999813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4522586006995949,"score_gpt":0.4265716329436709,"score_spread":0.025686967755924,"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."}}