{"id":"W2994023977","doi":"","title":"MULTIFAMILY ORGANICS SEPARATION PILOTS IN TORONTO","year":2002,"lang":"en","type":"article","venue":"Biocycle: Journal of composting and recycling","topic":"Municipal Solid Waste Management","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Separation (statistics); Aeronautics; Environmental science; Transport engineering; Engineering; Computer science","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":[0.0003954532,0.0005660974,0.00018064,0.0003531794,0.007144135,0.001251894,0.0006738607,0.0008158276,0.01839951],"category_scores_gemma":[0.0004646805,0.0004524509,0.0003486854,0.0004878188,0.001169019,0.0005938095,0.0007148331,0.0009037348,0.001647804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01069496,"about_ca_system_score_gemma":0.02031389,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8179134,"about_ca_topic_score_gemma":0.9646041,"domain_scores_codex":[0.9993615,0.00003906246,0.00000844119,0.0000881158,0.0002655115,0.0002373835],"domain_scores_gemma":[0.9989113,0.00006145245,0.00005902491,0.00003310451,0.0005140191,0.0004210934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.004283572,0.001922584,0.128779,0.001418693,0.000225336,0.01175466,0.01741158,0.007262822,0.3570767,0.009036029,0.151505,0.309324],"study_design_scores_gemma":[0.0003218218,0.004556554,0.3628291,0.0002824216,0.0002011338,0.001178538,0.02639284,0.005341031,0.06953309,0.0009058437,0.5282609,0.0001967069],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8551229,0.001612531,0.006336928,0.006013901,0.0003737634,0.0006684732,0.001996297,0.001141618,0.1267335],"genre_scores_gemma":[0.7932065,0.0009714448,0.007286511,0.0007861154,0.00004217736,0.00009242919,0.0009902063,0.0001020975,0.1965225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1820866,"threshold_uncertainty_score":0.3663178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02159018260503955,"score_gpt":0.2768126681964579,"score_spread":0.2552224855914184,"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."}}