{"id":"W4313435923","doi":"10.3390/su15010013","title":"Economic Indicators for Life Cycle Sustainability Assessment: Going beyond Life Cycle Costing","year":2022,"lang":"en","type":"article","venue":"Sustainability","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; University of British Columbia, Okanagan Campus; Okanagan University College; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sustainability; Profitability index; Economic indicator; Activity-based costing; Environmental economics; Life cycle costing; Engineering; Operations management; Business; Operations research; Economics; Marketing","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":[],"category_scores_codex":[0.004812055,0.00059479,0.000705867,0.0001786341,0.002505747,0.0001535465,0.001046498,0.0001786716,0.006624721],"category_scores_gemma":[0.00409244,0.0006678922,0.0004740923,0.0006797871,0.001140728,0.0009060897,0.002563259,0.0008469363,0.00003296424],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03219397,"about_ca_system_score_gemma":0.001776736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001638244,"about_ca_topic_score_gemma":0.0001578977,"domain_scores_codex":[0.993811,0.000862012,0.001115751,0.001642926,0.0007889936,0.001779377],"domain_scores_gemma":[0.9962066,0.000740462,0.0004798113,0.001510526,0.00006767666,0.0009949652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002714361,0.0008803706,0.8861809,0.0003172898,0.00004613355,0.00001293523,0.001568015,0.09529317,0.00001888437,0.002396468,0.00135336,0.01166098],"study_design_scores_gemma":[0.001791278,0.0006489622,0.8228984,0.000002546122,0.00007940747,0.000007183159,0.02214967,0.01923109,0.00005382865,0.1093808,0.0227487,0.001008081],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839621,0.00006337606,0.001068703,0.004045675,0.0003110343,0.004065546,0.0001882429,0.0002402115,0.006055064],"genre_scores_gemma":[0.9960644,0.000003728017,0.0006631241,0.0008511752,0.0001110416,0.001404886,0.00008908753,0.00008665121,0.0007259336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1069844,"threshold_uncertainty_score":0.9995772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005100966666487194,"score_gpt":0.268590832209631,"score_spread":0.2634898655431438,"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."}}