{"id":"W4402953603","doi":"","title":"Unveiling the synergy: integration of time-driven activity based costing with social life cycle assessment","year":2024,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Life Cycle Costing Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Technische Universität Berlin; Kungliga Tekniska Högskolan; Aalborg Universitet; Sveriges Lantbruksuniversitet; Polytechnique Montréal; Deakin University; Universidade Tecnológica Federal do Paraná; RWTH Aachen University; Instituto Federal do Rio Grande do Sul; Australian Government","keywords":"Activity-based costing; Life cycle costing; Computer science; Business; Engineering; Operations management; Accounting","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003331124,0.000168392,0.0002092131,0.0001966526,0.0005155476,0.0006754517,0.0004468423,0.00006095547,0.0001397773],"category_scores_gemma":[0.001171159,0.0001277443,0.000127839,0.001080357,0.0001478952,0.0005083943,0.0001943001,0.0002639533,0.00004666513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007527937,"about_ca_system_score_gemma":0.0001596652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00155566,"about_ca_topic_score_gemma":0.0008209324,"domain_scores_codex":[0.9980959,0.0006615198,0.0002816418,0.0003462845,0.0004110289,0.0002036672],"domain_scores_gemma":[0.9967959,0.001278694,0.0003283349,0.0005129615,0.001062914,0.00002120499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001598776,0.002797655,0.03107499,0.001705923,0.001264079,0.00002725949,0.008062867,0.02320687,0.1411771,0.2720469,0.007672879,0.5108036],"study_design_scores_gemma":[0.0002650854,2.357743e-7,0.007730104,0.0007508619,0.0001379712,5.354669e-7,0.0001704827,0.9845067,0.003997747,0.0002380986,0.002027509,0.0001747271],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7181414,0.00008840684,0.2153789,0.0187553,0.00009297825,0.000252771,0.000008379126,0.0003860769,0.04689573],"genre_scores_gemma":[0.9947358,0.000004666304,0.004186184,0.0001923339,0.00009756122,0.00002290722,0.00008210025,0.00003220531,0.0006462484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9612998,"threshold_uncertainty_score":0.6513396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01328546449925526,"score_gpt":0.2327252376013005,"score_spread":0.2194397731020452,"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."}}