{"id":"W2328448422","doi":"10.1061/41009(333)70","title":"Innovative Stormwater Management in Canada","year":2008,"lang":"en","type":"article","venue":"","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Environment and Climate Change Canada","funders":"","keywords":"Stormwater; Rainwater harvesting; Swale; Surface runoff; Environmental science; Low-impact development; Impervious surface; Interception; Watershed; Context (archaeology); Water resource management; Stormwater management; Bioretention; Hydrology (agriculture); Environmental planning; Environmental resource management; Computer science; Geography; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0000529769,0.00008407368,0.00006725526,0.00004522661,0.00006896559,0.00000336712,0.0001686767,0.00001013145,0.004490233],"category_scores_gemma":[0.000001419812,0.00007347246,0.0000085596,0.0005038033,0.00005596557,0.0001552536,0.0002471613,0.00005623595,0.0006529187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001536807,"about_ca_system_score_gemma":0.00002354769,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9306622,"about_ca_topic_score_gemma":0.9675314,"domain_scores_codex":[0.9991395,0.00001421904,0.0001451684,0.0001952311,0.0002492718,0.0002566063],"domain_scores_gemma":[0.9997549,0.000005073274,0.00002014071,0.0001795311,0.000002924114,0.00003739777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003810088,0.00003659833,0.8210941,0.000001940342,0.00001311987,0.0001882608,0.000234255,0.0007981312,0.00004997933,0.0006665401,0.1759232,0.0009900631],"study_design_scores_gemma":[0.0002171941,0.000005895199,0.9037911,0.000001295679,0.000001649693,0.000003166344,0.0001584787,0.0001875298,0.0001343455,0.00007236715,0.09530128,0.0001257516],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6487513,0.000002134358,0.0003751742,0.0002668202,0.00007386006,0.0001636238,9.623352e-7,0.00002015004,0.350346],"genre_scores_gemma":[0.9738929,0.00000533563,0.001475898,0.0007664263,0.000004936508,0.00002737687,0.000003280901,0.000006157096,0.02381772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3265283,"threshold_uncertainty_score":0.9964198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01256395099727518,"score_gpt":0.1747812394707775,"score_spread":0.1622172884735023,"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."}}