{"id":"W4387972561","doi":"10.1139/cjce-2023-0320","title":"Improving solid waste management in remote First Nations communities through inventory-theory-based optimization","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Municipal Solid Waste Management","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Constraint (computer-aided design); Municipal solid waste; Solid waste management; Order (exchange); Environmental economics; Business; Operations research; Computer science; Operations management; Waste management; Economics; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0009125086,0.0009724355,0.0008970944,0.0007278649,0.0006854064,0.001839412,0.0008602405,0.001045785,0.00144984],"category_scores_gemma":[0.001545867,0.0005936892,0.0007980563,0.0009067562,0.0007626594,0.001218281,0.001024283,0.0009041883,0.0001262973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002488649,"about_ca_system_score_gemma":0.003148394,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05088511,"about_ca_topic_score_gemma":0.04448221,"domain_scores_codex":[0.9996045,0.0001776498,0.00001285114,0.00004768447,0.00008866076,0.00006867894],"domain_scores_gemma":[0.9995674,0.0002519177,0.00006622216,0.00001277086,0.00006830226,0.00003337031],"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":[0.00000489594,0.00001008804,0.0001648644,0.000006362076,0.000004396127,0.0000113466,0.000005093958,0.9977222,0.0000708357,0.0009254383,0.00005118865,0.001023277],"study_design_scores_gemma":[0.000002706745,0.000008948779,0.00006502734,0.000003095259,0.000002430245,0.000002087183,0.00001222607,0.9988062,0.00006504501,0.000933543,0.00009574886,0.000002972503],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2563669,0.0008335637,0.7157629,0.001157858,0.00007429635,0.0002417052,0.0002884126,0.0002970046,0.02497738],"genre_scores_gemma":[0.944347,0.0004079783,0.0514727,0.0000658043,0.00001554878,0.0001301903,0.0001235031,0.00004082559,0.003396426],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9491149,"threshold_uncertainty_score":0.1011779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01329735904415116,"score_gpt":0.2084514689894229,"score_spread":0.1951541099452718,"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."}}