{"id":"W2289566609","doi":"10.1016/j.wasman.2016.02.020","title":"Grand Challenges – Management of municipal solid waste","year":2016,"lang":"en","type":"editorial","venue":"Waste Management","topic":"Municipal Solid Waste Management","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Institute for Catastrophic Loss Reduction; National Science Foundation","keywords":"Framing (construction); Restructuring; Civil society; Business; Stakeholder; Energy security; Grand Challenges; Environmental degradation; Environmental planning; Environmental economics; Environmental resource management; Political science; Engineering; Economics; Public relations; Renewable energy; Politics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001539709,0.001276838,0.00136096,0.0004078051,0.0002360996,0.00009939396,0.003407708,0.000608754,0.002212435],"category_scores_gemma":[0.00002335827,0.001101471,0.0005317942,0.0004955818,0.0005357748,0.0002913121,0.008672038,0.0006170381,0.001773807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007885768,"about_ca_system_score_gemma":0.00001062961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001667994,"about_ca_topic_score_gemma":0.0001860459,"domain_scores_codex":[0.9908947,0.0002937706,0.001548865,0.002016797,0.003660755,0.001585151],"domain_scores_gemma":[0.9949191,0.0001937207,0.001034178,0.003455431,0.00004546926,0.0003521503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001866654,0.0004025786,0.000002830694,0.002866649,0.001540354,0.0003121397,0.0004914698,0.007717675,0.000005404458,0.002807157,0.9413504,0.04231666],"study_design_scores_gemma":[0.002450701,0.0002518512,0.00001634443,0.00162096,0.000847451,8.749111e-7,0.00230188,0.0005907895,0.00008496318,0.0008816014,0.9897569,0.001195716],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.0005149067,0.001523892,0.0003110194,0.0003694721,0.4148978,0.002737853,0.0001690647,0.0001635956,0.5793124],"genre_scores_gemma":[0.02936848,0.09600082,0.004338378,0.0002277478,0.519096,0.002307171,0.0005996843,0.001133272,0.3469285],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.2323839,"threshold_uncertainty_score":0.9999983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01478855215787339,"score_gpt":0.2613792728767191,"score_spread":0.2465907207188457,"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."}}