{"id":"W7017299201","doi":"","title":"AI’s Sustainability Dilemma: How Personalized Recommendations Influence Carbon Footprints","year":2025,"lang":"en","type":"article","venue":"Journal of the Association for Information Systems","topic":"Green IT and Sustainability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Personalization; Sustainability; Mobile apps; Sustainable development; Ecosystem","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":[0.00224275,0.0003823316,0.0005221551,0.0005388121,0.0008721008,0.003278117,0.0008316613,0.002124632,0.004343694],"category_scores_gemma":[0.01859144,0.0003015803,0.0005001833,0.0006940062,0.00113068,0.003279016,0.001126427,0.001623572,0.0004979902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001281704,"about_ca_system_score_gemma":0.001090458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008975625,"about_ca_topic_score_gemma":0.007504839,"domain_scores_codex":[0.9987779,0.0007407757,0.0000316189,0.0002367781,0.0001020413,0.0001108385],"domain_scores_gemma":[0.9905033,0.007578256,0.0005572989,0.0005039074,0.0004173337,0.0004399787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001218956,0.00136446,0.1234896,0.0008050668,0.0007911932,0.001032443,0.007302199,0.4597958,0.01009067,0.2285176,0.01213195,0.1534601],"study_design_scores_gemma":[0.000145824,0.0003539493,0.0267099,0.0001219687,0.0002447635,0.0002098511,0.003569781,0.7417853,0.002341881,0.2117981,0.01258245,0.0001363436],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9096835,0.0008212713,0.03426282,0.01123999,0.0001308528,0.00009174206,0.0003499806,0.0001371492,0.04328261],"genre_scores_gemma":[0.9951,0.0001829119,0.003004193,0.000289932,0.00001976275,0.0000253253,0.00003188286,0.00001387331,0.00133216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008975625,"threshold_uncertainty_score":0.01784676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004845364475918715,"score_gpt":0.2350283614136797,"score_spread":0.230182996937761,"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."}}