{"id":"W2057830866","doi":"10.1080/09638180.2013.837400","title":"The Tracking of Environmental Costs: Motivations and Impacts","year":2013,"lang":"en","type":"article","venue":"European Accounting Review","topic":"Environmental Sustainability in Business","field":"Business, Management and Accounting","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Sample (material); Sustainability; Business; Empirical evidence; TEC; Variable cost; Overhead (engineering); Tracking (education); Accounting; Environmental economics; Industrial organization; Economics; Computer science; Ecology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002977479,0.0003284139,0.0002126715,0.002599924,0.000669242,0.003161259,0.0004229947,0.0005398441,0.001707551],"category_scores_gemma":[0.01463055,0.000209057,0.0003023865,0.003492282,0.001361249,0.002012646,0.001619888,0.000539229,0.0001518666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001491328,"about_ca_system_score_gemma":0.001399877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0043989,"about_ca_topic_score_gemma":0.006807561,"domain_scores_codex":[0.9962131,0.001081884,0.0002820441,0.0002114475,0.001931963,0.0002796633],"domain_scores_gemma":[0.9725193,0.01149538,0.01092161,0.001316612,0.003023076,0.0007240221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001161622,0.0001901009,0.7767223,0.0003821634,0.000191163,0.000253989,0.001655596,0.006873529,0.002373653,0.03263383,0.0009389366,0.1776686],"study_design_scores_gemma":[0.000005721774,0.00009894795,0.9667844,0.0002063651,0.00007432177,0.0003631169,0.003806798,0.003223051,0.002255809,0.01135904,0.01174314,0.00007933808],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9597002,0.001480171,0.004222523,0.001013024,0.00002102567,0.0000634608,0.0002396763,0.00003143833,0.03322849],"genre_scores_gemma":[0.9975133,0.0005785266,0.001022713,0.00004485407,0.00001381353,0.000008618603,0.00006619942,0.00000490658,0.0007471024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0043989,"threshold_uncertainty_score":0.01574659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009391775691320747,"score_gpt":0.2062523023454171,"score_spread":0.1968605266540964,"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."}}