{"id":"W4392898235","doi":"10.61838/kman.aitech.1.4.3","title":"The Environmental Impacts of AI and Digital Technologies","year":2023,"lang":"en","type":"article","venue":"","topic":"Green IT and Sustainability","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Sustainability; Software deployment; Thematic analysis; Emerging technologies; Sustainable development; Public engagement; Public policy; Business; Knowledge management; Environmental resource management; Environmental planning; Engineering; Qualitative research; Computer science; Public relations; Political science; Sociology; Economics","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":[0.003051596,0.000337643,0.0002391541,0.001457227,0.002652936,0.005452827,0.0006505979,0.001447424,0.005377317],"category_scores_gemma":[0.005726982,0.0001463212,0.0004014321,0.00187181,0.006340549,0.005096918,0.005565785,0.001385319,0.0004069104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002536612,"about_ca_system_score_gemma":0.002142032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001844893,"about_ca_topic_score_gemma":0.003148021,"domain_scores_codex":[0.9926986,0.003672596,0.0001730037,0.0003910347,0.002345996,0.000718745],"domain_scores_gemma":[0.9892948,0.008571001,0.0008070611,0.0003986962,0.000720385,0.0002082572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002297039,0.0003998352,0.05075652,0.00247152,0.0001321466,0.003418415,0.05213161,0.008712653,0.01436573,0.6176639,0.00599092,0.2437271],"study_design_scores_gemma":[0.00001898872,0.0004478098,0.04165667,0.002926714,0.0001166908,0.002542206,0.1953915,0.00294423,0.01906826,0.2054654,0.5292685,0.0001530725],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.5100656,0.007860519,0.01710126,0.01383235,0.0003226125,0.0001005389,0.0002340497,0.00007238163,0.4504106],"genre_scores_gemma":[0.9827565,0.004193617,0.002737856,0.001272131,0.00008882766,0.0000548969,0.00005769695,0.00002155295,0.008816998],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.005452827,"threshold_uncertainty_score":0.01840448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002567224309467485,"score_gpt":0.1755987539740334,"score_spread":0.1730315296645659,"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."}}