{"id":"W4390336395","doi":"10.3917/dm.105.0231","title":"10.3917/dm.105.0231","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Municipal Solid Waste Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Incentive; Sorting; Signage; Business; Environmental economics; Marketing; Computer science; Economics; Advertising; Microeconomics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005006822,0.001377903,0.0006853653,0.002201335,0.001560004,0.003895287,0.0008960778,0.00201217,0.9592096],"category_scores_gemma":[0.001092084,0.0006858158,0.0005779711,0.001511759,0.001109451,0.002288613,0.001938245,0.00169126,0.9607956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001843766,"about_ca_system_score_gemma":0.0009682347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002953142,"about_ca_topic_score_gemma":0.005331821,"domain_scores_codex":[0.9996308,0.00002709803,0.00002797069,0.0001101669,0.0001385612,0.00006534066],"domain_scores_gemma":[0.9989047,0.0001251135,0.00006017054,0.0001842536,0.0003323505,0.000393488],"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":[0.0001550099,0.0002980256,0.001070444,0.0002657592,0.00001271528,0.0001435913,0.00006378609,0.0001331208,0.002885595,0.007847014,0.5403419,0.4467831],"study_design_scores_gemma":[0.00001523471,0.00001682419,0.0007567313,0.0001177421,0.000006080431,0.0002282403,0.00004270183,0.00008998279,0.0005393016,0.0007356326,0.9974419,0.00000965968],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006465589,0.0006449133,0.0005816313,0.0009223626,0.000734334,0.00004188668,0.001054233,0.000885289,0.9944887],"genre_scores_gemma":[0.001778919,0.0003275154,0.0003010867,0.0003874628,0.0001074096,0.0000226487,0.0004437551,0.0001250369,0.9965062],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04079044,"threshold_uncertainty_score":0.05818254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005568847703107871,"score_gpt":0.1726985084038092,"score_spread":0.1671296607007013,"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."}}