{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002155682,0.0002633128,0.000338028,0.0001092696,0.00001817445,0.00001743894,0.000425344,0.000113484,0.0002727388],"category_scores_gemma":[0.000003754954,0.0002310463,0.00005476234,0.0003060437,0.0000248765,0.00001343178,0.0002980705,0.0002924418,0.00002052956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00196044,"about_ca_system_score_gemma":0.0001536425,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9932845,"about_ca_topic_score_gemma":0.9991081,"domain_scores_codex":[0.9980291,0.00004705017,0.0005323237,0.0004836731,0.0005948618,0.0003130083],"domain_scores_gemma":[0.9992085,0.00001958795,0.0001510521,0.0005423034,0.000006541259,0.00007202368],"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":[0.0003384336,0.001015132,0.3426653,0.004864973,0.0006980562,0.0002372268,0.01368522,0.5304479,0.01704805,0.005178082,0.0008474364,0.08297415],"study_design_scores_gemma":[0.001140959,0.0001999173,0.3480435,0.0006078974,0.0003311838,0.000003146452,0.0137578,0.6029813,0.01189116,0.001179269,0.0180311,0.001832794],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8234571,0.00004128059,0.000003397293,0.00007609467,0.00024848,0.0005903578,0.00000569318,0.00001312143,0.1755645],"genre_scores_gemma":[0.9939263,0.00002478396,0.0001442622,0.00002042421,0.00001915364,0.0001972764,0.000190669,0.00003620339,0.005440917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1704693,"threshold_uncertainty_score":0.9421794,"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."}}