{"id":"W4387147454","doi":"10.26226/m.63179d997e215f5e7f384c5d","title":"How long will they last? Performance Assessment of Mature Bioretention Systems in Ontario, Canada","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Bioretention; Environmental science; Business; Environmental planning; Biology; Stormwater; Ecology; Surface runoff","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007749386,0.0003603588,0.0002926602,0.0003600641,0.001950154,0.001247418,0.0006204119,0.0004379508,0.001312133],"category_scores_gemma":[0.0007259895,0.0001539198,0.0002747715,0.0006527957,0.0006434455,0.0005049892,0.0004050645,0.0002454586,0.0003252925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02217453,"about_ca_system_score_gemma":0.01650868,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9588581,"about_ca_topic_score_gemma":0.9847307,"domain_scores_codex":[0.9994695,0.00003152002,0.00001634454,0.00007417246,0.000250711,0.0001579165],"domain_scores_gemma":[0.9989204,0.0000682682,0.00007426156,0.00002715858,0.0007616206,0.000148218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005014,0.001170166,0.4130663,0.0007225288,0.000196433,0.001313998,0.003695449,0.1144186,0.1724802,0.002521325,0.01166463,0.2737363],"study_design_scores_gemma":[0.0003256639,0.004377928,0.7616146,0.0001622339,0.0002464247,0.0002409921,0.01023582,0.1061055,0.07612047,0.0009130187,0.03948719,0.0001701944],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905941,0.0003626712,0.001361131,0.0001826611,0.000009025599,0.0001187752,0.0006948339,0.0000498893,0.006626969],"genre_scores_gemma":[0.987725,0.0003522226,0.001698637,0.00004528758,0.000002992474,0.00002902291,0.0006538048,0.00001183453,0.009481316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04114193,"threshold_uncertainty_score":0.1608883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01146097298952399,"score_gpt":0.1990297533878023,"score_spread":0.1875687803982783,"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."}}