{"id":"W2154547968","doi":"","title":"ASSESSING THE FULL COST OF ENERGY IN NOVA SCOTIA: A GPI ATLANTIC APPROACH","year":2005,"lang":"en","type":"article","venue":"","topic":"Sustainable Development and Environmental Policy","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Nova scotia; Environmental full-cost accounting; Subsidy; Activity-based costing; Natural resource economics; Environmental economics; Resource (disambiguation); Business; Economics; Accounting information system; Accounting; Geography; Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001908011,0.0001157207,0.0001188424,0.0000414894,0.00005040921,0.00003202672,0.0002418548,0.00004648437,0.002161221],"category_scores_gemma":[0.00001109357,0.00007889893,0.00003325852,0.000309833,0.0002053077,0.0003430227,0.0002266182,0.0000801378,0.0001910235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002634428,"about_ca_system_score_gemma":0.00001101268,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006799485,"about_ca_topic_score_gemma":0.002078747,"domain_scores_codex":[0.9989929,0.00003757679,0.0002214228,0.0002013973,0.0002360249,0.0003106702],"domain_scores_gemma":[0.9996772,0.00003426242,0.00005569556,0.0001862273,0.000001368471,0.0000452148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002660865,0.0007011475,0.8810915,0.000026454,0.00002459022,0.00001209111,0.001790643,0.03272991,0.009533795,0.001914103,0.007817583,0.06433162],"study_design_scores_gemma":[0.0009347507,0.00003701657,0.9493981,0.00001887838,0.00001496883,0.00003517367,0.005723746,0.01795525,0.005644998,0.0003469021,0.01943624,0.0004539808],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8361622,0.00002504042,0.001100978,0.000457483,0.00002152251,0.0001230888,2.191148e-7,0.00001209194,0.1620973],"genre_scores_gemma":[0.9952427,0.00001018085,0.002616445,0.0004504849,0.00003018069,0.000007409638,0.000005895687,0.0000100246,0.001626738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1604706,"threshold_uncertainty_score":0.9998143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01669425268283831,"score_gpt":0.2457351487296677,"score_spread":0.2290408960468294,"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."}}