{"id":"W2092179320","doi":"10.1016/j.envsoft.2009.02.001","title":"A decision support system for environmental effects monitoring","year":2009,"lang":"en","type":"article","venue":"Environmental Modelling & Software","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph; Environment and Climate Change Canada","funders":"","keywords":"Effluent; Decision support system; Environmental science; Environmental monitoring; Environmental impact assessment; Environmental resource management; Benthic zone; Engineering; Computer science; Environmental engineering; Ecology; Data mining; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001333714,0.001341038,0.001230987,0.001743359,0.0007490847,0.002105508,0.001768049,0.00140187,0.02317557],"category_scores_gemma":[0.003778607,0.0006827286,0.0006007989,0.001097609,0.00035825,0.001956217,0.001390406,0.001033404,0.006981942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006118072,"about_ca_system_score_gemma":0.0009923918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004074404,"about_ca_topic_score_gemma":0.002750549,"domain_scores_codex":[0.9992675,0.0001314433,0.0001142087,0.0001814111,0.0002526193,0.00005276405],"domain_scores_gemma":[0.9978672,0.001102163,0.0001543517,0.0003420316,0.000322175,0.0002120688],"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":[0.002941894,0.001088993,0.009047253,0.001036188,0.0004086245,0.001428705,0.0006395691,0.06365437,0.05144509,0.01104545,0.1404709,0.716793],"study_design_scores_gemma":[0.0008341844,0.0003691113,0.00465939,0.0001551334,0.0003366279,0.0006057632,0.0001105481,0.8363875,0.04598131,0.01965279,0.09072179,0.0001857995],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03412459,0.0004215537,0.6211896,0.0006348701,0.0002157764,0.0006932477,0.009185192,0.3237927,0.009742348],"genre_scores_gemma":[0.413784,0.0006578719,0.5372692,0.001184608,0.0002406339,0.001335343,0.0171361,0.00584835,0.022544],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02317557,"threshold_uncertainty_score":0.07752997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009922170217744788,"score_gpt":0.200515708735815,"score_spread":0.1905935385180701,"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."}}