{"id":"W2552798294","doi":"10.2139/ssrn.2866426","title":"Knowledge Sources and Waste Reduction: Less is More","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Public Procurement and Policy","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Reduction (mathematics); Environmental science; Waste management; Business; Engineering; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01246495,0.0009169875,0.001321912,0.00601881,0.002979755,0.02083692,0.00277003,0.009807932,0.02352149],"category_scores_gemma":[0.03034756,0.00053138,0.001407639,0.006851275,0.01681552,0.02918861,0.008355846,0.004307201,0.002134976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005442942,"about_ca_system_score_gemma":0.01050163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006422875,"about_ca_topic_score_gemma":0.008351595,"domain_scores_codex":[0.9811431,0.009073193,0.0008845213,0.001666917,0.005713266,0.001518955],"domain_scores_gemma":[0.9423473,0.02816858,0.01114386,0.007739945,0.007424688,0.003175565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001032074,0.001374354,0.02964108,0.006403628,0.0009934319,0.0004486559,0.01327437,0.001841151,0.002074182,0.3802667,0.06050504,0.5021453],"study_design_scores_gemma":[0.0001373513,0.0003388751,0.01808015,0.005250077,0.0005769269,0.0004938875,0.02871563,0.0008120234,0.003454189,0.7381768,0.2037814,0.0001827763],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1324036,0.06812827,0.01591372,0.6175277,0.003559832,0.0001057286,0.0007144448,0.0003750175,0.1612717],"genre_scores_gemma":[0.8886008,0.02348967,0.006132979,0.05733893,0.002745823,0.00008592578,0.0003500569,0.0002446701,0.0210111],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02352149,"threshold_uncertainty_score":0.07868719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01568062093700845,"score_gpt":0.2424353105423698,"score_spread":0.2267546896053614,"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."}}