{"id":"W7161989969","doi":"10.82308/14510","title":"Land Application of Municipal Wastewater Biosolids in Canada: A Carbon Footprint Assessment","year":2024,"lang":"en","type":"dissertation","venue":"","topic":"Municipal Solid Waste Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biosolids; Municipal solid waste; Sewage sludge; Pollution prevention; Waste disposal","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003260218,0.0006333831,0.0004353524,0.001501131,0.00162977,0.001496905,0.0007027344,0.000552751,0.001130471],"category_scores_gemma":[0.0003732072,0.000255732,0.000682169,0.003396671,0.0005510576,0.0003466585,0.000476938,0.000350069,0.0002408102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03386738,"about_ca_system_score_gemma":0.02579446,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9903085,"about_ca_topic_score_gemma":0.9939051,"domain_scores_codex":[0.9995165,0.00001751072,0.00001363539,0.00005275657,0.0002864923,0.0001132624],"domain_scores_gemma":[0.999616,0.00002872306,0.00002541225,0.000009853488,0.0002839275,0.00003605374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001576276,0.0005470815,0.4684905,0.001264727,0.0004597618,0.001313633,0.001766492,0.2335471,0.0795721,0.002677342,0.005092489,0.2036926],"study_design_scores_gemma":[0.000108329,0.000477291,0.7713711,0.0001353971,0.0003374335,0.0001661146,0.003550495,0.1524552,0.04809704,0.0006797704,0.02246008,0.0001617198],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869199,0.0006458427,0.001438366,0.0001382818,0.000004720433,0.0001213599,0.003151982,0.0000973084,0.007482189],"genre_scores_gemma":[0.9886408,0.0007343157,0.002454603,0.00004499033,0.000001066323,0.00003937892,0.001789164,0.0000237081,0.006271965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03386738,"threshold_uncertainty_score":0.2457262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007305951860105585,"score_gpt":0.2475244678001497,"score_spread":0.2402185159400441,"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."}}