{"id":"W4392105026","doi":"10.53106/256299802023120501002","title":"Machine Learning Improves Environmental Sustainability: A Teaching Case of Prediction about Scrapping Inventory","year":2023,"lang":"en","type":"article","venue":"International Journal of Computer Auditing","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sustainability; Computer science; Inventory management; Operations management; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001819649,0.0006688429,0.0003761011,0.0004194525,0.001053916,0.00184923,0.001423725,0.001737638,0.005576109],"category_scores_gemma":[0.008216595,0.0001884478,0.0004326156,0.0005876592,0.001169155,0.002258428,0.001280838,0.002076398,0.001298762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001623548,"about_ca_system_score_gemma":0.001699966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003820021,"about_ca_topic_score_gemma":0.006681015,"domain_scores_codex":[0.9988231,0.0005417964,0.0000574111,0.0001761931,0.0002546704,0.0001468361],"domain_scores_gemma":[0.9942698,0.004126053,0.0002675848,0.0003007515,0.000572304,0.0004633696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009732806,0.007083334,0.02524093,0.001205456,0.0001026306,0.008905944,0.01928599,0.1321649,0.01457452,0.05080926,0.05144417,0.6882097],"study_design_scores_gemma":[0.0002745418,0.001977426,0.0104678,0.0005412989,0.00008230905,0.002716866,0.01281906,0.7058392,0.03871365,0.09643326,0.1299599,0.0001746527],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7675733,0.0007826408,0.1333739,0.02249182,0.0003864945,0.0003590539,0.0003679944,0.001967135,0.07269764],"genre_scores_gemma":[0.8719308,0.0005914394,0.104486,0.00112534,0.00008388761,0.00009293565,0.0002281531,0.0001372424,0.02132432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005576109,"threshold_uncertainty_score":0.01865393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03818104736626535,"score_gpt":0.3435997161352605,"score_spread":0.3054186687689951,"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."}}