{"id":"W7036079624","doi":"","title":"Bioretention Systems for Stormwater Management: Assessment, Performance and Changes Over Time","year":2021,"lang":"en","type":"dissertation","venue":"TSpace (University of Toronto)","topic":"Phytochemistry Medicinal Plant Applications","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bioretention; Stormwater; Surface runoff; Low-impact development; Hydraulic conductivity; Hydrology (agriculture); Water quality","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007855092,0.0001092216,0.000181504,0.000006277879,0.0001635421,0.00001424085,0.0001381801,0.0001204888,0.001638374],"category_scores_gemma":[0.000001267288,0.00006689089,0.00004558414,0.00003733833,0.00002903019,0.0001143571,0.0000329557,0.00004729694,0.000002397914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007137175,"about_ca_system_score_gemma":0.000006253632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005155229,"about_ca_topic_score_gemma":0.01001401,"domain_scores_codex":[0.9994397,0.00001237097,0.00005328104,0.0002281532,0.0001354716,0.0001310071],"domain_scores_gemma":[0.9996557,0.00002701731,0.0001459926,0.00005386139,0.00007155626,0.00004587121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003573201,0.0001747536,0.001341355,0.003127149,0.0004431198,0.00001061095,0.002033151,0.000002209855,0.8106192,0.0006344647,0.009225651,0.172031],"study_design_scores_gemma":[0.0004440335,0.0002387695,0.9501598,0.0005532682,0.0003483902,0.000003592773,0.02449619,0.001054289,0.0008892142,0.000007815579,0.02141754,0.0003870564],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9723215,0.0006668175,0.000006466512,0.0001550525,0.0000872598,0.0004068864,0.0001337067,0.00002440449,0.02619797],"genre_scores_gemma":[0.9323305,0.002229393,0.0001472033,0.000005019151,0.00008526017,0.000006315081,0.003975186,0.000001456031,0.06121961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9488185,"threshold_uncertainty_score":0.9992743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01297551259760242,"score_gpt":0.2326023936598125,"score_spread":0.2196268810622101,"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."}}