{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003941384,0.0005906451,0.0003846417,0.00186961,0.002441019,0.001526748,0.001489015,0.002263261,0.004700859],"category_scores_gemma":[0.005766564,0.0003098143,0.000377257,0.002533225,0.001272426,0.001242932,0.001260607,0.001242846,0.0005121068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003239347,"about_ca_system_score_gemma":0.001195014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007852991,"about_ca_topic_score_gemma":0.01578243,"domain_scores_codex":[0.9969172,0.002164563,0.00009531974,0.000120064,0.0004681578,0.0002347533],"domain_scores_gemma":[0.9919983,0.00597938,0.0004119369,0.0005223862,0.0007163348,0.000371703],"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":[0.002395816,0.0243166,0.09734668,0.002060618,0.0002844963,0.1226791,0.04593664,0.1747139,0.01883835,0.08064699,0.02567935,0.4051014],"study_design_scores_gemma":[0.001410421,0.009865055,0.09072752,0.0009132502,0.000313626,0.02140287,0.1620202,0.3771815,0.08079302,0.03667139,0.2182062,0.0004949989],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.961513,0.0001885873,0.009177463,0.0008784569,0.00001984129,0.0005389071,0.0002554739,0.00006160047,0.02736666],"genre_scores_gemma":[0.9742123,0.0003146217,0.01906669,0.00009345864,0.00001835675,0.0001933856,0.0001344586,0.00002186894,0.005944869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007852991,"threshold_uncertainty_score":0.02350324,"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."}}