{"id":"W2735646247","doi":"","title":"Solid Waste Management in Chennai: Lessons from Exnora","year":2016,"lang":"en","type":"article","venue":"The innovation journal","topic":"Urban and Rural Development Challenges","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Municipal solid waste; Garbage; Per capita; Business; Waste disposal; Megacity; Population; Waste collection; Municipal corporation; Local government; Waste management; Environmental planning; Agricultural economics; Engineering; Geography; Economics; Economy; Environmental health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001038656,0.00007522753,0.00008582858,0.0001746029,0.0004171271,0.00009602219,0.0002831194,0.00005096889,0.0005446511],"category_scores_gemma":[0.00002489752,0.00004183721,0.00002575618,0.0005472678,0.00009597089,0.0002365449,0.00004047817,0.0001457617,0.0001089097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001500433,"about_ca_system_score_gemma":0.0000849446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006011421,"about_ca_topic_score_gemma":0.0007272208,"domain_scores_codex":[0.9988511,0.0001155965,0.0003033948,0.0001131876,0.0003698348,0.0002469307],"domain_scores_gemma":[0.9995292,0.00005762511,0.0001555832,0.00009353428,0.0001218012,0.00004220684],"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":[0.00005252013,0.0001274344,0.005637417,0.00000543805,0.0001627969,0.00005963819,0.02253669,0.000006997445,0.003096018,0.331151,0.05367147,0.5834925],"study_design_scores_gemma":[0.002109385,0.00003090951,0.1108975,0.0003011952,0.00002142762,0.000006903167,0.03272764,0.00002418118,0.0004790677,0.1754664,0.6775026,0.0004327522],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6717139,0.0004203403,0.005847015,0.2406889,0.002532188,0.0003591718,0.000007173194,0.00007561249,0.07835563],"genre_scores_gemma":[0.9853128,0.0008667413,0.0002799623,0.0005000118,0.000536943,0.000006230873,0.000001371171,0.000006860132,0.01248907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6238311,"threshold_uncertainty_score":0.5963547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06391010949531302,"score_gpt":0.3434553035137711,"score_spread":0.2795451940184581,"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."}}