{"id":"W1991597350","doi":"10.1002/ep.10340","title":"Using LCA to enhance EMS: Pulp and paper case study","year":2009,"lang":"en","type":"article","venue":"Environmental Progress & Sustainable Energy","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Life-cycle assessment; Capital investment; Context (archaeology); Product life-cycle management; Engineering; Process management; Computer science; Risk analysis (engineering); Systems engineering; Management science; Business; Production (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"],"consensus_categories":[],"category_scores_codex":[0.0004957248,0.0005153266,0.0003743676,0.0004897413,0.0007586089,0.00067386,0.0003486664,0.00008868592,0.0003126771],"category_scores_gemma":[0.00003543926,0.0005286849,0.00007451305,0.00061947,0.0001399809,0.002057129,0.000952495,0.0001634647,0.00003116152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004836568,"about_ca_system_score_gemma":0.00001949792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002894633,"about_ca_topic_score_gemma":0.00006622743,"domain_scores_codex":[0.9968219,0.0000427425,0.0004437699,0.0009564766,0.0005390522,0.001196048],"domain_scores_gemma":[0.9990286,0.00002239044,0.0001940584,0.0006217835,0.00004315328,0.00009005436],"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":[0.0009145137,0.01023221,0.1100642,0.001130619,0.0006377083,0.1867254,0.004641824,0.01659137,0.001911825,0.04619215,0.007569449,0.6133888],"study_design_scores_gemma":[0.00304743,0.0009233395,0.0154753,0.0000842156,0.0005277188,0.0006428336,0.4107369,0.007408026,0.0005864127,0.00860508,0.5487792,0.00318354],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933459,0.0009784467,0.0007238224,0.0009415551,0.0001173396,0.001422634,0.000001172842,0.0001909261,0.002278182],"genre_scores_gemma":[0.9916292,0.00001435402,0.000414762,0.003210997,0.0005894271,0.0001933147,0.00001444133,0.00007848743,0.003855007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6102052,"threshold_uncertainty_score":0.9997165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007714691547217377,"score_gpt":0.2427592196022863,"score_spread":0.2350445280550689,"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."}}