{"id":"W2587250740","doi":"","title":"Generic Integration in Environmental Information and Decision Support Systems","year":2002,"lang":"en","type":"article","venue":"ScholarsArchive  (Brigham Young University)","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Waterloo","keywords":"Computer science; Decision support system; Process (computing); Information system; Data science; Management information systems; Software; Risk analysis (engineering); Management science; Knowledge management; Engineering; Data mining; Business","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001491083,0.0001071126,0.00009586613,0.0006027578,0.0001355554,0.000387289,0.0004847752,0.00003437543,0.00002113392],"category_scores_gemma":[0.000009819541,0.0001115619,0.00002416891,0.0003763632,0.00004199357,0.00619431,0.0003685945,0.0001553364,0.0001330339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009411501,"about_ca_system_score_gemma":0.000007798709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004001917,"about_ca_topic_score_gemma":0.00001233578,"domain_scores_codex":[0.9991781,0.00005382732,0.0001478011,0.0002298349,0.0002143277,0.0001761643],"domain_scores_gemma":[0.9995643,0.00002699495,0.00007161373,0.0002568508,0.00001009955,0.00007013592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000232064,0.0001281739,0.01527907,0.00001914497,0.0000240829,0.0002221273,0.001894704,0.00024172,0.0006631535,0.07300386,0.001518717,0.9069821],"study_design_scores_gemma":[0.002751667,0.0002707629,0.1362451,0.0001050809,0.00002620539,0.00008600327,0.001282205,0.7125103,0.0001170143,0.001740617,0.1441493,0.0007157258],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2001795,0.00008979012,0.779415,0.00007988799,0.0004571003,0.0003520152,0.0000383175,0.0001063429,0.01928214],"genre_scores_gemma":[0.9725007,0.0005052029,0.0254138,0.00006376955,0.00002501454,0.000001111378,0.00009211621,0.000005261574,0.001393041],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9062663,"threshold_uncertainty_score":0.4549363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01022822837431674,"score_gpt":0.1732359001201492,"score_spread":0.1630076717458325,"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."}}