{"id":"W4402901220","doi":"10.1016/j.indic.2024.100491","title":"Tracking progress toward sustainable development goal 12 using Canadian industrial pollutants in waste","year":2024,"lang":"en","type":"article","venue":"Environmental and Sustainability Indicators","topic":"Municipal Solid Waste Management","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Pollutant; Sustainable development; Tracking (education); Environmental science; Environmental resource management; Waste management; Environmental planning; Business; Engineering; Ecology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009275568,0.000341822,0.0002667075,0.0004490107,0.0003991366,0.0001941275,0.0003263663,0.0001943623,0.001204147],"category_scores_gemma":[0.00003592753,0.0003364864,0.00005983684,0.0005080739,0.0006402045,0.0005192716,0.0007498519,0.0004352997,0.00004419102],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008731138,"about_ca_system_score_gemma":0.0002685241,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02011232,"about_ca_topic_score_gemma":0.006412041,"domain_scores_codex":[0.9968694,0.0001436054,0.0004904039,0.0007858796,0.0005033418,0.001207312],"domain_scores_gemma":[0.9991108,0.00003148746,0.00006099282,0.0002872636,0.000001760553,0.0005076621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004451891,0.0002131466,0.8731816,0.000218076,0.00004668811,0.000956643,0.01500157,0.004153291,0.00002182102,0.0002942033,0.0000824811,0.1057859],"study_design_scores_gemma":[0.001798258,0.0002748944,0.6870877,0.0001589395,0.00009742639,0.0000596115,0.1529967,0.01836252,0.0007141287,0.001816611,0.1346158,0.00201736],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968489,0.0003234874,0.00002446156,0.000525973,0.0001219191,0.001172206,0.00001553309,0.00003836375,0.0009291788],"genre_scores_gemma":[0.9989299,0.00001374013,0.00009465802,0.00007019427,0.00005147803,0.0000667198,0.00001087472,0.00003604552,0.0007263774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1860939,"threshold_uncertainty_score":0.9999087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01481863698248572,"score_gpt":0.2354795140857476,"score_spread":0.2206608771032619,"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."}}