{"id":"W4389168119","doi":"10.1007/s44206-023-00078-8","title":"From Seller Screens to Buyer Screens: Toward a Smart Digital Receipt Solution for Sustainability and Greenhouse Gas Mitigation by Million Tons","year":2023,"lang":"en","type":"article","venue":"Digital Society","topic":"Green IT and Sustainability","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Receipt; Purchasing; Greenhouse gas; Product (mathematics); Warranty; Business; Sustainability; Greenhouse; Environmental economics; Computer science; Marketing; Accounting","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002307941,0.0003014584,0.0002890216,0.00005009058,0.0001936643,0.0003946609,0.0001435129,0.0002238399,0.000008608132],"category_scores_gemma":[0.0003085245,0.0003199416,0.0002838272,0.0005013576,0.0001263324,0.0009228092,0.0001390357,0.0001651726,0.00002531913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004447078,"about_ca_system_score_gemma":0.00005124132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00023742,"about_ca_topic_score_gemma":0.00003593287,"domain_scores_codex":[0.9982014,0.00001503096,0.0003485629,0.0005244765,0.0002692831,0.0006411927],"domain_scores_gemma":[0.9988802,0.0001917568,0.00003601932,0.0003264584,0.0002964361,0.0002691117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000293046,0.0003904419,0.1052579,0.001234409,0.0005746187,0.00001040292,0.02104939,0.001622865,0.002002448,0.0002369861,0.5668557,0.3004718],"study_design_scores_gemma":[0.006061376,0.00133948,0.1274112,0.0002211966,0.0002410581,0.00001029335,0.06104394,0.3312424,0.003140313,0.08754812,0.3772127,0.004527886],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9663674,0.00009742355,0.02700529,0.002099968,0.0001270192,0.001147654,0.001852322,0.0008956692,0.0004072032],"genre_scores_gemma":[0.9971601,0.0000279276,0.0004703563,0.00007891577,0.0001346345,0.0001388171,0.001364025,0.00006622746,0.000558969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3296195,"threshold_uncertainty_score":0.9999253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01049698355372482,"score_gpt":0.2260871822131412,"score_spread":0.2155901986594164,"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."}}