{"id":"W7027136473","doi":"","title":"Building with Nature: Blue-Green Systems for Solving Urban Growth and Climate Challenges in Canada","year":2022,"lang":"en","type":"article","venue":"Western CEDAR (Western Washington University)","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Recreation; Green infrastructure; Rainwater harvesting; Wetland; Water resources; Water cycle; Urbanization; Biodiversity; Flood myth; Scope (computer science)","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":[0.001248467,0.0004794686,0.0002891024,0.000973836,0.01942598,0.007304859,0.00170081,0.001351878,0.0147801],"category_scores_gemma":[0.002026092,0.000295181,0.000478802,0.00192154,0.003663519,0.001719872,0.00545502,0.002281559,0.0009805248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1056975,"about_ca_system_score_gemma":0.2327137,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9947224,"about_ca_topic_score_gemma":0.9986312,"domain_scores_codex":[0.998457,0.0001725253,0.00002635838,0.00009958207,0.0005023684,0.0007422721],"domain_scores_gemma":[0.9979576,0.0000937335,0.00002932331,0.0000570246,0.0006576163,0.001204683],"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":[0.0001292477,0.0002850483,0.02157826,0.0005604096,0.00004949855,0.001295896,0.03084556,0.004979625,0.002089726,0.1543481,0.439828,0.3440107],"study_design_scores_gemma":[0.00002675145,0.00005456151,0.02551358,0.0002529724,0.00002683675,0.0001545701,0.03663221,0.003246114,0.0006473142,0.01446609,0.9188832,0.00009575698],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1590075,0.01037882,0.01171558,0.1399615,0.001748776,0.0005255968,0.002296606,0.001100866,0.6732647],"genre_scores_gemma":[0.6714555,0.01049588,0.02958664,0.01053804,0.0001355246,0.0002433023,0.001302762,0.0005564488,0.2756859],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1056975,"threshold_uncertainty_score":0.7668927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009511231947851456,"score_gpt":0.2077240868245889,"score_spread":0.1982128548767374,"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."}}