{"id":"W2022458040","doi":"10.1021/es101210k","title":"Calculator Tool for Determining Greenhouse Gas Emissions for Biosolids Processing and End Use","year":2010,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Landfill Environmental Impact Studies","field":"Environmental Science","cited_by":151,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biosolids; Greenhouse gas; Environmental science; Waste management; Calculator; Environmental engineering; Combustion; Engineering; Chemistry; Computer science; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0003896454,0.000320662,0.0002641913,0.0001918667,0.001404028,0.0001045802,0.0005525555,0.0002149345,0.0002476313],"category_scores_gemma":[0.0002706812,0.0002713453,0.00006874393,0.0003890672,0.00535085,0.0009230325,0.00100574,0.0002502124,0.00003405821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002841867,"about_ca_system_score_gemma":0.00001934971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002204586,"about_ca_topic_score_gemma":0.00002635244,"domain_scores_codex":[0.9974751,0.000008770073,0.0003114378,0.000921536,0.0003779723,0.000905166],"domain_scores_gemma":[0.9990497,0.0001037117,0.0001518245,0.000459303,0.000002771615,0.0002326411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001462519,0.00009875518,0.1667398,0.000005301205,0.000004663818,0.000002518561,0.0001921268,0.00001911793,0.7715258,0.00003496643,0.00007728845,0.06128504],"study_design_scores_gemma":[0.002465289,0.001184697,0.2732104,0.00003958612,0.000117028,0.0003444946,0.0006361796,0.008577117,0.6652567,0.002379503,0.04426219,0.001526807],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963055,0.00003352998,0.00156691,0.0006174297,0.0001474894,0.0009670781,0.00007325562,0.0001405277,0.0001483411],"genre_scores_gemma":[0.9732944,0.00003287381,0.02582819,0.000211473,0.0000374804,0.0002823199,0.000006556208,0.00004141147,0.0002652388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1064706,"threshold_uncertainty_score":0.9999739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01114554753699614,"score_gpt":0.2524295592836391,"score_spread":0.2412840117466429,"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."}}