{"id":"W2290854815","doi":"10.1016/j.wasman.2016.02.017","title":"Attitudes toward waste to energy facilities and impacts on diversion in Ontario, Canada","year":2016,"lang":"en","type":"article","venue":"Waste Management","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","cited_by":68,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Western University","funders":"Social Sciences and Humanities Research Council of Canada; Western University","keywords":"Waste management; Waste-to-energy; Energy (signal processing); Environmental science; Environmental planning; Engineering; Business; Environmental protection; Natural resource economics; Municipal solid waste; Economics","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.000184528,0.00012968,0.0001503414,0.0001105427,0.000195434,0.00005653164,0.0002332735,0.00004120908,0.0003361809],"category_scores_gemma":[0.00003185406,0.00010395,0.00002534717,0.0001624888,0.00008262652,0.0001516141,0.0002058792,0.00003553591,0.000006913631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001787177,"about_ca_system_score_gemma":0.0002008302,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9949919,"about_ca_topic_score_gemma":0.9997759,"domain_scores_codex":[0.998579,0.00006595885,0.0001350617,0.0002866828,0.0005122916,0.0004209555],"domain_scores_gemma":[0.9995613,0.00005347444,0.00003895909,0.0001427729,0.00002433543,0.0001791564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000281166,0.0001710287,0.08991922,0.00008369987,0.0002102503,0.0002702693,0.03045682,0.002229783,0.000304858,0.2723763,0.08964612,0.5140505],"study_design_scores_gemma":[0.001228761,0.000178042,0.04698084,0.0003988309,0.00001885885,1.856136e-7,0.144455,0.000004639077,0.0008582823,0.001863539,0.8033803,0.0006327684],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9183884,0.00004106924,0.00006777007,0.003504789,0.000496617,0.0001705698,0.000006644022,0.00002770811,0.07729644],"genre_scores_gemma":[0.944855,0.0001669028,0.00006888451,0.0004937429,0.00007812662,0.00002129678,0.000001067101,0.000007081471,0.05430793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7137341,"threshold_uncertainty_score":0.4673405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01732610106924324,"score_gpt":0.2347952029564782,"score_spread":0.2174691018872349,"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."}}