{"id":"W4225880949","doi":"10.1029/2022ea002320","title":"Hydrological Perspectives on Integrated, Coordinated, Open, Networked (ICON) Science","year":2022,"lang":"en","type":"article","venue":"Earth and Space Science","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"DECIPHER; Interoperability; Computer science; Cyberinfrastructure; Data sharing; Icon; Data science; Field (mathematics); World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.002126605,0.0001479156,0.0001518474,0.0001275016,0.003701837,0.0001958938,0.001241167,0.00001973932,0.001628688],"category_scores_gemma":[0.0001310826,0.0001136468,0.00002134981,0.001716517,0.005916843,0.0006070768,0.003333586,0.0003005936,0.0001532182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001080645,"about_ca_system_score_gemma":0.00004559152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00023165,"about_ca_topic_score_gemma":0.00004182576,"domain_scores_codex":[0.9977477,0.00008325628,0.0001078734,0.000884635,0.0005534423,0.0006230911],"domain_scores_gemma":[0.9994262,0.00004102394,0.00005617266,0.0002817619,0.00001484369,0.0001800249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001660485,0.001964487,0.4520229,0.00001406368,0.00008000886,0.0004883513,0.03604318,0.1466226,0.04977369,0.2330997,0.03043241,0.0477981],"study_design_scores_gemma":[0.004083788,0.007127856,0.5148991,0.00003012694,0.00006071836,0.0001813218,0.04466327,0.09987957,0.005164461,0.009972887,0.3116042,0.002332739],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9178935,0.00005860006,0.00008869285,0.004165948,0.0002087817,0.000298352,0.000002643173,0.00004740086,0.07723608],"genre_scores_gemma":[0.9948828,0.00004179983,0.0003876371,0.001099622,0.00001335305,0.00003414303,6.240488e-7,0.00000404635,0.003535924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2811718,"threshold_uncertainty_score":0.999284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0112300704171229,"score_gpt":0.2331760968877317,"score_spread":0.2219460264706088,"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."}}