{"id":"W3195186540","doi":"10.1108/ijesm-01-2021-0020","title":"Analysis of carbon credit trading (CCT) practices: a study of manufacturing organizations in British Columbia, Canada","year":2021,"lang":"en","type":"article","venue":"International Journal of Energy Sector Management","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Yorkville University","funders":"","keywords":"Greenhouse gas; Competitive advantage; Workforce; Scope (computer science); Incentive; Business; Emissions trading; Marketing; Industrial organization; Economics; Economic growth","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002338394,0.00005814271,0.0003754988,0.0004611924,0.00001762535,0.00008251538,0.0002668693,0.00002481914,0.0005706607],"category_scores_gemma":[0.00008762229,0.0001033237,0.00007769408,0.0004268181,0.000009248902,0.0001383717,0.00008015714,0.0000663109,1.365149e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004003166,"about_ca_system_score_gemma":0.00005744231,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7905784,"about_ca_topic_score_gemma":0.9832038,"domain_scores_codex":[0.9986677,0.00001907681,0.0009543917,0.0001521665,0.0001037792,0.0001028535],"domain_scores_gemma":[0.998019,0.00006519691,0.001608663,0.0001195835,0.0001514518,0.00003613977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000214145,0.0009605379,0.961851,0.00004335232,0.008223129,0.0005021281,0.0009781595,0.02472608,0.00002080372,0.001900334,0.000231602,0.0005414428],"study_design_scores_gemma":[0.002005165,0.0001085504,0.9772168,0.0001117621,0.0004695292,0.00003602688,0.006665013,0.006657375,0.0004058493,0.001064513,0.004993245,0.0002661734],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956913,0.0001980739,0.00008826949,0.0001184979,0.0006323424,0.00003464941,0.0001028196,0.0000015381,0.003132531],"genre_scores_gemma":[0.9990423,0.0004196573,0.00008445109,0.00007800994,0.00009714416,0.000002599111,0.0000210996,0.00001020953,0.0002444909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1926254,"threshold_uncertainty_score":0.6248335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0391178745822602,"score_gpt":0.2396693375267928,"score_spread":0.2005514629445326,"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."}}