{"id":"W157382857","doi":"10.2166/wqrj.2007.034","title":"Comparison of Shredded Tire Chips and Tire Crumbs as Packing Media in Trickling Filters","year":2007,"lang":"en","type":"article","venue":"Water Quality Research Journal","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Trickling filter; Leachate; Sorption; Chemical oxygen demand; Pulp and paper industry; Waste management; Materials science; Biomass (ecology); Environmental science; Chemistry; Environmental engineering; Adsorption; Wastewater; Engineering; Organic chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006394848,0.0005454869,0.0005134845,0.00056935,0.000302805,0.0009229128,0.0003125142,0.000459588,0.0004861052],"category_scores_gemma":[0.001352316,0.0002579447,0.0005074392,0.0004200291,0.0003209074,0.0005828278,0.000428256,0.0002714669,0.0001471676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004491596,"about_ca_system_score_gemma":0.0004099649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004560255,"about_ca_topic_score_gemma":0.008848877,"domain_scores_codex":[0.999332,0.0002364165,0.00005650421,0.000106293,0.0001496582,0.0001192114],"domain_scores_gemma":[0.9989711,0.0003661416,0.0001852847,0.00006227534,0.0002317068,0.0001834951],"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":[0.001470365,0.0001142814,0.002831956,0.0002834244,0.00005345291,0.0000828933,0.0000980955,0.0004249335,0.9886801,0.00002201128,0.0000210826,0.005917301],"study_design_scores_gemma":[0.00003285423,0.005063157,0.02325647,0.00003100897,0.0001557534,0.0001510146,0.0002092594,0.0008972901,0.969227,0.00001289679,0.0009353023,0.0000280714],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990355,0.0003679483,0.0003461437,0.000006697212,0.00000512215,0.00001762425,0.00004085524,0.000006857281,0.0001732443],"genre_scores_gemma":[0.9946373,0.0006089983,0.003728757,0.00002576046,0.000005931689,0.00002481189,0.0002024627,0.00001286088,0.0007531218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004560255,"threshold_uncertainty_score":0.009067416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1690747114158467,"score_gpt":0.4465493680554112,"score_spread":0.2774746566395646,"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."}}