{"id":"W33852408","doi":"10.1109/tnnls.2021.3071292","title":"Port of Brisbane stormwater quality : stage 2 development of a port specific water quality model","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Neural Networks and Learning Systems","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Strong; Port of Brisbane","keywords":"Stormwater; Port (circuit theory); Context (archaeology); Surface runoff; Water quality; General partnership; Environmental science; Environmental planning; Quality (philosophy); Civil engineering; Engineering; Environmental engineering; Business; Geography","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":[0.001479479,0.0001981272,0.0003952302,0.0000502396,0.0002578766,0.00002892867,0.0001178201,0.0001096269,0.0001887943],"category_scores_gemma":[0.000001205782,0.0001486257,0.00009874766,0.0001042868,0.0001076577,0.0001590263,0.000004190825,0.0003755479,0.000008602619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008190038,"about_ca_system_score_gemma":0.00001086251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005772986,"about_ca_topic_score_gemma":0.00005418684,"domain_scores_codex":[0.9975911,0.0004234804,0.0009121252,0.0003299853,0.0004328386,0.0003104516],"domain_scores_gemma":[0.9993367,0.00004517578,0.0002542266,0.0002274298,0.00002024259,0.0001161854],"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":[0.0001038987,0.0001652574,0.001128487,0.00004370255,0.00002099515,0.000001574773,0.002365778,0.9796432,0.009044214,0.00002755489,0.00003234007,0.007422964],"study_design_scores_gemma":[0.002333993,0.0009347458,0.1251419,0.000223294,0.00007148521,0.0000310643,0.001777856,0.8224312,0.03446273,0.00003303121,0.01114793,0.001410759],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7300839,0.00002616581,0.2691799,0.00008116468,0.0001753733,0.0001876777,0.000007418414,0.00003335634,0.0002250746],"genre_scores_gemma":[0.9962269,0.00002097803,0.0003499356,0.00005592419,0.00002322336,0.000009664295,0.000009111861,0.00001096793,0.003293283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2688299,"threshold_uncertainty_score":0.606078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04543203141952643,"score_gpt":0.2857241427170621,"score_spread":0.2402921112975357,"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."}}