{"id":"W2952101390","doi":"10.2139/ssrn.3068222","title":"The Impact of Environmental Recall and Carbon Taxation on the Carbon Footprint of Supermarket Shopping","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Environmental Sustainability in Business","field":"Business, Management and Accounting","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture Food and Rural Development","funders":"Engineering and Physical Sciences Research Council","keywords":"Carbon footprint; Recall; Carbon fibers; Environmental impact assessment; Greenhouse gas; Carbon tax; Environmental economics; Natural resource economics; Business; Economics; Computer science; Psychology; Political 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":[0.001696246,0.0002963069,0.0005480403,0.001015742,0.0008601176,0.003357057,0.0007620444,0.001794818,0.01683474],"category_scores_gemma":[0.01077612,0.0003174543,0.001146691,0.001697918,0.001233427,0.001903187,0.001132978,0.001375846,0.0008234835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002928121,"about_ca_system_score_gemma":0.002146853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05826074,"about_ca_topic_score_gemma":0.07726613,"domain_scores_codex":[0.9987307,0.0004525307,0.00005740272,0.0001430371,0.0002129615,0.0004033026],"domain_scores_gemma":[0.9803955,0.01298389,0.002350181,0.0009186948,0.001978402,0.001373373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01162832,0.00284988,0.843706,0.0002555102,0.00115698,0.001439187,0.001081604,0.06676714,0.002877655,0.0279496,0.003801209,0.03648685],"study_design_scores_gemma":[0.0001912246,0.001252127,0.925128,0.0001071031,0.001167619,0.0003819652,0.005915425,0.03555584,0.003830904,0.01857732,0.00772765,0.0001648714],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871507,0.0005698592,0.0001900263,0.0006606193,0.00002655821,0.00001319205,0.000495728,0.00001307527,0.01088019],"genre_scores_gemma":[0.996631,0.0001884566,0.00004545752,0.00007496464,0.00001686952,0.000002393567,0.0002177888,0.000008253141,0.002814823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05826074,"threshold_uncertainty_score":0.1158432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007521327625556639,"score_gpt":0.2170075769362979,"score_spread":0.2094862493107413,"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."}}