{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.008353144,0.001083155,0.001139521,0.006504131,0.001427221,0.00715873,0.004565884,0.002546747,0.04671489],"category_scores_gemma":[0.05240687,0.001040307,0.001600452,0.01623529,0.001485273,0.009370331,0.007844031,0.003788582,0.03238178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004712421,"about_ca_system_score_gemma":0.0144785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07267978,"about_ca_topic_score_gemma":0.06597389,"domain_scores_codex":[0.9914738,0.001317969,0.001307417,0.001075926,0.004277353,0.0005474683],"domain_scores_gemma":[0.9701811,0.006962115,0.001414977,0.01201765,0.00743694,0.001987114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003199441,0.00007830127,0.003975555,0.0007396326,0.0001506392,0.0002352072,0.0007406374,0.003025213,0.003036636,0.05278775,0.8768944,0.05801614],"study_design_scores_gemma":[0.0001027437,0.00001776222,0.003163214,0.0002549125,0.0000339312,0.0001227661,0.0002179723,0.004335021,0.003185421,0.02758938,0.9608476,0.0001293521],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.004458338,0.0006732403,0.1311538,0.006890806,0.001365392,0.001243035,0.6086036,0.1407393,0.1048725],"genre_scores_gemma":[0.04213431,0.001514778,0.1755627,0.002851508,0.0004312796,0.002320981,0.7198141,0.02863262,0.02673769],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.9954341,"threshold_uncertainty_score":0.1562769,"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."}}