{"id":"W2024739977","doi":"10.1080/09593332708618626","title":"A Biological Process that Reduces Metals in Municipal Sludge to Yield Sulphur Enhanced Biosolids","year":2006,"lang":"en","type":"article","venue":"Environmental Technology","topic":"Phosphorus and nutrient management","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Biosolids; Yield (engineering); Sewage sludge; Sulfur; Waste management; Process (computing); Heavy metals; Environmental science; Chemistry; Environmental chemistry; Pulp and paper industry; Environmental engineering; Sewage treatment; Materials science; Engineering; Metallurgy; Computer science","routes":{"ca_aff":true,"ca_fund":false,"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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000199028,0.0002796796,0.0003033585,0.0001967669,0.0001052534,0.00001693422,0.0006550705,0.0002439541,0.001895747],"category_scores_gemma":[0.00002806519,0.000246016,0.00006517216,0.0005727609,0.0004670436,0.0001393013,0.0008091023,0.0002362821,0.001049881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002857241,"about_ca_system_score_gemma":0.000002295068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002249948,"about_ca_topic_score_gemma":0.0001517372,"domain_scores_codex":[0.9979759,0.00003053549,0.0003286071,0.0007369382,0.0002808408,0.000647122],"domain_scores_gemma":[0.999379,0.00003246825,0.00009146053,0.0004164871,6.917456e-7,0.00007986066],"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":[0.0001109503,0.001216208,0.1418314,0.000005562636,0.00002063499,0.00007665176,0.0003450006,0.0009436137,0.8454063,0.0005491402,0.001168116,0.008326408],"study_design_scores_gemma":[0.0004479781,0.0004169429,0.09402046,0.00002400144,0.00001136807,0.00001010401,0.00100249,0.00004994527,0.8882937,0.003578393,0.011645,0.0004995525],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919407,0.0001765882,0.00008663783,0.001225925,0.00008774573,0.0006089928,0.00001388975,0.0001405977,0.005718877],"genre_scores_gemma":[0.9981588,0.0001103326,0.0004531688,0.0003200435,0.00001922549,0.0002567524,0.00001384385,0.00002043917,0.0006474465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04781097,"threshold_uncertainty_score":0.9999992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01465739546318596,"score_gpt":0.2323067558294362,"score_spread":0.2176493603662502,"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."}}