{"id":"W2312806150","doi":"10.1061/41036(342)100","title":"Data Reporting Guidelines for Certification of Manufactured Stormwater BMPs: Part II","year":2009,"lang":"en","type":"article","venue":"World Environmental and Water Resources Congress 2009","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Contech (Canada)","funders":"","keywords":"Certification; Protocol (science); Stormwater; Consistency (knowledge bases); Computer science; Best practice; Agency (philosophy); Impartiality; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006040455,0.0002402337,0.0002682043,0.00007634832,0.000338501,0.00004153487,0.0004544617,0.00005268169,0.0009843383],"category_scores_gemma":[0.00002827934,0.0001719491,0.00006433969,0.0000507139,0.0002606251,0.0004036032,0.0006505452,0.00008149286,0.00005655134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008280061,"about_ca_system_score_gemma":0.000001194947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006990125,"about_ca_topic_score_gemma":0.00009187005,"domain_scores_codex":[0.9975986,0.00003311804,0.0009750028,0.0006216332,0.0003760928,0.0003955179],"domain_scores_gemma":[0.9986598,0.00001383398,0.0004467472,0.0007670631,0.000006677649,0.0001058488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004720638,0.001141662,0.2438102,0.0001050087,0.0002497109,0.00002621529,0.005566137,0.003127353,0.2747247,0.00005706149,0.3312598,0.1394601],"study_design_scores_gemma":[0.0004956452,0.0001204712,0.0988448,0.00002749628,0.00008856673,0.000007797829,0.0001076165,0.001077419,0.02665827,0.0004862396,0.8717473,0.0003383618],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935656,0.0001776922,0.0001842686,0.002632517,0.0001569299,0.0005924152,0.0001954817,0.00005654451,0.002438561],"genre_scores_gemma":[0.9697187,0.00003733658,0.001948573,0.0004856087,0.0001007241,0.00002588709,0.0004358815,0.00001976297,0.02722753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5404875,"threshold_uncertainty_score":0.9999289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08508448648647532,"score_gpt":0.2851140316775708,"score_spread":0.2000295451910955,"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."}}