{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004089423,0.0007869022,0.0006913983,0.00007059707,0.0008916255,0.00006035586,0.0004089827,0.000217785,0.0003730334],"category_scores_gemma":[0.00002642972,0.0006923329,0.0002858766,0.00009882576,0.0005534223,0.0008565459,0.0003382806,0.0002723532,0.0005190209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001743833,"about_ca_system_score_gemma":0.000005116471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004861233,"about_ca_topic_score_gemma":0.00002144702,"domain_scores_codex":[0.996193,0.0001069648,0.0007269933,0.001157759,0.0007407074,0.001074587],"domain_scores_gemma":[0.9982814,0.0001114255,0.0002298107,0.0008752049,0.000002249949,0.0004998954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002875226,0.007756403,0.08727187,0.0002932128,0.001941566,0.009989104,0.03270646,0.2073286,0.2714488,0.0005131503,0.01113375,0.3667418],"study_design_scores_gemma":[0.01153202,0.005915341,0.01732078,0.000145431,0.001151343,0.0100298,0.03004254,0.8680863,0.04309609,0.004496566,0.002788945,0.005394842],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991543,0.0005569882,0.00395174,0.0001212299,0.0004352187,0.0016573,0.000514334,0.000263178,0.0009570186],"genre_scores_gemma":[0.9858253,0.0002421502,0.01241346,0.0005179422,0.0002405069,0.0001513,0.0002966208,0.0001014843,0.0002112228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6607577,"threshold_uncertainty_score":0.9995528,"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."}}