{"id":"W3158755310","doi":"10.14254/jems.2021.6-1.1","title":"Activity-Based Life-Cycle Costing applied to an innovative forestry company product portfolio","year":2021,"lang":"en","type":"article","venue":"Economics Management and Sustainability","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Activity-based costing; Portfolio; Product (mathematics); Production (economics); Life cycle costing; Forestry; Business; Product lifecycle; Environmental economics; Computer science; Operations management; Operations research; New product development; Engineering; Economics; Finance; Accounting; Marketing; Mathematics; Microeconomics","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":[0.0007259017,0.0006585725,0.0004408253,0.002423272,0.0003315661,0.001044175,0.0004340632,0.0003307573,0.002056648],"category_scores_gemma":[0.002430023,0.0002384878,0.0005071955,0.002580356,0.0002232524,0.0007965713,0.000345048,0.0003104347,0.0002075801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001352494,"about_ca_system_score_gemma":0.0008621846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008716685,"about_ca_topic_score_gemma":0.006217988,"domain_scores_codex":[0.9993074,0.0002409724,0.00004457268,0.00005836495,0.0003053494,0.00004340376],"domain_scores_gemma":[0.9992495,0.0003713965,0.00008115198,0.00007157219,0.0002068456,0.00001953186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006683978,0.00006553086,0.005284599,0.00009793277,0.00004158687,0.0001364324,0.00007332868,0.8619278,0.003433694,0.01240496,0.0003707094,0.1160966],"study_design_scores_gemma":[0.00000432953,0.00006424247,0.002779103,0.000009513406,0.00002272435,0.00005469551,0.0000255204,0.9911402,0.002022648,0.002506331,0.001357263,0.00001356889],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2481968,0.0005009004,0.7332566,0.00009900705,0.00004397637,0.0005045304,0.0006665208,0.0004107412,0.01632092],"genre_scores_gemma":[0.9010332,0.0003019322,0.09650092,0.000008091049,0.000009771619,0.0002252693,0.0002919066,0.00003548405,0.001593465],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008716685,"threshold_uncertainty_score":0.0173319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007610562876000602,"score_gpt":0.2105408563170358,"score_spread":0.2029302934410352,"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."}}