{"id":"W2806512311","doi":"10.1016/j.resconrec.2018.05.024","title":"Current status of sludge processing and biosolids disposition in Ontario","year":2018,"lang":"en","type":"article","venue":"Resources Conservation and Recycling","topic":"Landfill Environmental Impact Studies","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Biosolids; Disposition; Environmental science; Current (fluid); Waste management; Engineering; Environmental engineering; Psychology; Social psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002274015,0.0003091985,0.0003496494,0.002029818,0.003466033,0.002898857,0.001095991,0.0005213987,0.005236392],"category_scores_gemma":[0.003509331,0.0002935578,0.0004224948,0.004747723,0.001661735,0.001190204,0.0009973675,0.0003803981,0.0003848237],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05380394,"about_ca_system_score_gemma":0.1155606,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9866024,"about_ca_topic_score_gemma":0.9958853,"domain_scores_codex":[0.9976552,0.0001985687,0.0002356865,0.0002110777,0.001271926,0.0004274542],"domain_scores_gemma":[0.9899548,0.000885417,0.001759699,0.0002382799,0.006545395,0.0006163924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001652241,0.0002684263,0.6449829,0.002498702,0.0001498558,0.0006151948,0.008713881,0.003928767,0.01352177,0.004662198,0.009404971,0.3096012],"study_design_scores_gemma":[0.00003389442,0.0003541907,0.8136411,0.0004482795,0.0001431447,0.0001982087,0.01245193,0.001246483,0.009041274,0.0005713795,0.1617982,0.00007194695],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8957652,0.01802184,0.001504996,0.005317573,0.00007409246,0.0001631624,0.005115498,0.0001434544,0.07389418],"genre_scores_gemma":[0.9472517,0.01852434,0.002632074,0.000414479,0.00003141866,0.0000459022,0.002392566,0.00004258682,0.02866495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9461961,"threshold_uncertainty_score":0.3903767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02119675706772228,"score_gpt":0.2571932577841778,"score_spread":0.2359965007164556,"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."}}