{"id":"W2053136860","doi":"10.1080/15275920903347396","title":"An Extended Environmental Multimedia Modeling System (EEMMS) for Landfill Case Studies","year":2009,"lang":"en","type":"article","venue":"Environmental Forensics","topic":"Landfill Environmental Impact Studies","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Environmental science; Computer science; Waste management; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.0008252528,0.0005462531,0.0003630077,0.0004451603,0.0003929285,0.000510245,0.0007825882,0.0007132812,0.003045244],"category_scores_gemma":[0.001272479,0.0002340773,0.0005931405,0.0004787377,0.0001863405,0.0006148041,0.0009080773,0.0003368601,0.0003526547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000433531,"about_ca_system_score_gemma":0.0007453358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003818152,"about_ca_topic_score_gemma":0.005282383,"domain_scores_codex":[0.9997459,0.0001097632,0.00002274836,0.0000229581,0.00007642069,0.00002217201],"domain_scores_gemma":[0.9996717,0.0001407812,0.0000313875,0.00006084596,0.00007807875,0.00001732349],"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":[0.0001100403,0.00008827617,0.004068216,0.00009623774,0.00002749936,0.0004632229,0.00008921127,0.9222002,0.008003907,0.006808053,0.001765761,0.05627935],"study_design_scores_gemma":[0.00001693596,0.00004335391,0.0006658051,0.00001232932,0.00001152509,0.00007185394,0.00003520341,0.9884555,0.003180239,0.001605621,0.005887941,0.00001362992],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3255044,0.0001912032,0.6533198,0.0004683244,0.00008348407,0.0004493312,0.002080375,0.004088822,0.01381422],"genre_scores_gemma":[0.7133227,0.0002144359,0.281444,0.00004376931,0.0000244481,0.0004377396,0.001118545,0.0001591983,0.003235111],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003818152,"threshold_uncertainty_score":0.01018733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02039194916537984,"score_gpt":0.2705326245630239,"score_spread":0.2501406753976441,"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."}}