{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004183244,0.00009780235,0.0001110665,0.0001505057,0.0004698924,0.00004192703,0.0006159852,0.0000278343,0.0004663594],"category_scores_gemma":[0.0001436237,0.00008252287,0.00004971316,0.0006728448,0.0009432658,0.0003528559,0.00004076427,0.0001462446,0.00004049903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005228636,"about_ca_system_score_gemma":0.0005587611,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03234401,"about_ca_topic_score_gemma":0.03193156,"domain_scores_codex":[0.998599,0.00002109779,0.000233788,0.0001832953,0.000548335,0.0004145204],"domain_scores_gemma":[0.9982918,0.00001419434,0.000148357,0.0001725679,0.00003680082,0.0013363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006807268,0.00005121217,0.7275682,0.000003396264,0.00001241547,0.0005524785,0.002904375,0.002861636,0.02521048,0.0005268541,0.2342808,0.006021317],"study_design_scores_gemma":[0.0003516334,0.00009510841,0.7339237,0.00002848618,0.00001389816,0.0003036947,0.0005340318,0.000732364,0.003503842,0.0002469877,0.2599768,0.0002894606],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9448435,0.0001318529,0.0001496384,0.001456505,0.0003675738,0.00006071939,0.000003777629,0.000007555034,0.05297889],"genre_scores_gemma":[0.9962862,0.0000253821,0.0002438228,0.0005189852,0.00003434988,0.000001111673,4.279236e-7,0.000006203025,0.002883521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05144271,"threshold_uncertainty_score":0.9857332,"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."}}