{"id":"W2904972083","doi":"10.5296/emsd.v8i1.13607","title":"Eco-Efficiency Applied to Dairy Processing: From Concept to Assessment","year":2018,"lang":"en","type":"article","venue":"Environmental Management and Sustainable Development","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Novalait","keywords":"Resource efficiency; Process (computing); Environmental economics; Perspective (graphical); Risk analysis (engineering); Resource (disambiguation); Computer science; Business; Environmental resource management; Economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007066784,0.000665285,0.0004457839,0.0009787857,0.001301267,0.0009012456,0.0007668745,0.0000925723,0.001270143],"category_scores_gemma":[0.00001708106,0.0006913259,0.00005855602,0.001010483,0.0001878829,0.0008055551,0.003776491,0.0001665483,0.001255895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001006784,"about_ca_system_score_gemma":0.00005068323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001366301,"about_ca_topic_score_gemma":0.00001693641,"domain_scores_codex":[0.9953097,0.00002030165,0.0006690907,0.001427214,0.0009607949,0.001612913],"domain_scores_gemma":[0.998952,0.00002397116,0.0001935566,0.0006004512,0.00006453082,0.0001654747],"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":[0.0009237931,0.002936322,0.03310124,0.002341522,0.0009295066,0.001506237,0.01755422,0.002567099,0.0008233414,0.1693949,0.1329483,0.6349735],"study_design_scores_gemma":[0.001329631,0.00007554497,0.09913971,0.00005775453,0.00009378359,7.028156e-7,0.06466275,0.0006368858,0.0002738898,0.001986817,0.8306065,0.001136048],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7078727,0.0002897133,0.07309943,0.003681282,0.0007210375,0.00880476,0.000009256109,0.0007329119,0.2047889],"genre_scores_gemma":[0.9536776,0.000007438879,0.0156706,0.008881071,0.0006662301,0.0008504117,0.0001524386,0.0001015905,0.0199926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6976582,"threshold_uncertainty_score":0.9999989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005141929869961826,"score_gpt":0.1980716280368818,"score_spread":0.19292969816692,"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."}}