{"id":"W2093567136","doi":"10.4141/cjss07043","title":"Carbon dioxide emissions by urban turfgrass areas","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Soil Science","topic":"Turfgrass Adaptation and Management","field":"Environmental Science","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Lawn; Environmental science; Carbon dioxide; Greenhouse gas; Flux (metallurgy); Carbon fibers; Carbon cycle; Environmental chemistry; Agronomy; Chemistry; Ecology; Ecosystem; Biology; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001233113,0.0001643048,0.00009375242,0.0002834871,0.000164402,0.0002281124,0.0001047169,0.00009612285,0.0003826793],"category_scores_gemma":[0.0001945147,0.00004716393,0.00008287548,0.0002933865,0.0001823379,0.0001199627,0.0001290091,0.00006126369,0.00004540869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005532752,"about_ca_system_score_gemma":0.0001898997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02748845,"about_ca_topic_score_gemma":0.0878346,"domain_scores_codex":[0.9998834,0.00003208467,0.000003102843,0.00002390008,0.00002232152,0.000035169],"domain_scores_gemma":[0.9998505,0.00003006049,0.00005416464,0.00001027047,0.00002422848,0.00003088272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001248426,0.0004998287,0.8352188,0.00008394926,0.0001422609,0.0006720833,0.0007700602,0.005875682,0.1211046,0.000137816,0.0003152666,0.03393129],"study_design_scores_gemma":[0.000008778398,0.0002838761,0.9946752,0.000002303613,0.0000235923,0.00006402046,0.0002438634,0.0007223497,0.003515628,0.00001558987,0.0004410475,0.00000371412],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998879,0.00001542121,0.00001164748,0.000001563958,2.048329e-7,7.538966e-7,0.0000105159,8.387528e-7,0.00007102454],"genre_scores_gemma":[0.9998178,0.00002582287,0.00002638124,0.000002944616,8.38702e-7,0.000001567653,0.00003656893,4.257268e-7,0.00008772815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02748845,"threshold_uncertainty_score":0.05465686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01042267645911165,"score_gpt":0.19463367310518,"score_spread":0.1842109966460683,"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."}}