{"id":"W194771532","doi":"10.14796/jwmm.r220-19","title":"Water Resources Modeling Tools - Open Source Code versus Proprietary Software","year":2004,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Open source; Computer science; Source code; Software engineering; Software; Open water; Code (set theory); Water resources; Open source software; Water source; Systems engineering; Environmental science; Water resource management; Engineering; Operating system; Programming language; Marine engineering; Set (abstract data type)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001266955,0.0003051375,0.0003974992,0.0001576067,0.0005200878,0.0002658424,0.001203795,0.00008563458,0.0002858042],"category_scores_gemma":[0.00001298327,0.0001834096,0.0001634688,0.00008811561,0.0000931584,0.001489166,0.002693804,0.0003237612,0.0003259505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002221603,"about_ca_system_score_gemma":0.00000347359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001266866,"about_ca_topic_score_gemma":0.00002977329,"domain_scores_codex":[0.9974592,0.00007009655,0.0007485841,0.0004200653,0.000609912,0.0006920864],"domain_scores_gemma":[0.9993551,0.00001188055,0.0001239933,0.000353012,0.00003314956,0.0001228026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005276642,0.0001073415,0.0002541733,0.00003716095,0.000323149,0.0001379506,0.003842892,0.9922187,0.0003466396,0.00002206737,0.0001902653,0.001991964],"study_design_scores_gemma":[0.02387522,0.001763539,0.0001278762,0.000677063,0.002085991,0.0001165153,0.007152844,0.8309985,0.009664232,0.05896466,0.06185639,0.002717206],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7557883,0.00004522502,0.2366496,0.002623863,0.0003624726,0.0004206271,0.000001131741,0.00005099453,0.004057734],"genre_scores_gemma":[0.983554,0.0001048382,0.01442544,0.0006533325,0.0001202023,0.00001861508,0.000008632378,0.00004147576,0.001073476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2277656,"threshold_uncertainty_score":0.7479227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04010205109975685,"score_gpt":0.2472536708570522,"score_spread":0.2071516197572953,"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."}}