{"id":"W2059304583","doi":"10.3155/1047-3289.60.2.219","title":"A Statistical Model for Landfill Surface Emissions","year":2010,"lang":"en","type":"article","venue":"Journal of the Air & Waste Management Association","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Golder Associates (Canada); Polytechnique Montréal","funders":"","keywords":"Environmental science; Methane; Landfill gas; Water content; Environmental engineering; Soil science; Municipal solid waste; Atmosphere (unit); Factorial experiment; Advection; Moisture; Hydrology (agriculture); Meteorology; Waste management; Statistics; Geotechnical engineering; Engineering; Mathematics; Chemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.0005314253,0.00008207382,0.000107558,0.000004079779,0.0001403313,0.00001759815,0.0002646894,0.00005398873,0.0001014471],"category_scores_gemma":[0.00006035004,0.00005581126,0.0001008826,0.00007040346,0.00003078668,0.0001331815,0.0001711773,0.0001823747,0.00001323486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003527374,"about_ca_system_score_gemma":0.000004914754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006867241,"about_ca_topic_score_gemma":0.0000130869,"domain_scores_codex":[0.9990568,0.00002723471,0.0002381233,0.00009194612,0.0004155278,0.0001703997],"domain_scores_gemma":[0.9993653,0.000059145,0.0003741856,0.0001324012,0.000008197247,0.00006073003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002938698,0.00008795444,0.109283,0.000006871838,0.00006136319,0.000001274825,0.0001738098,0.8665793,0.001558603,0.0004619121,0.01863368,0.003122894],"study_design_scores_gemma":[0.0008896373,0.00005556293,0.09066352,0.00001323028,0.0001837705,0.000003663835,0.0002924885,0.8940102,0.00008944073,0.005365078,0.00828034,0.0001529998],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8018688,0.000002846458,0.1927796,0.002077952,0.0004301532,0.0002369324,0.000007608186,0.000007311177,0.002588781],"genre_scores_gemma":[0.9094286,0.00001477763,0.07289043,0.0002976872,0.00004859253,0.00000271675,0.000001375504,0.00001169895,0.01730411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1198892,"threshold_uncertainty_score":0.2275917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004813554973237504,"score_gpt":0.2092270362509928,"score_spread":0.2044134812777553,"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."}}