{"id":"W4392898938","doi":"10.61838/kman.aitech.1.3.1","title":"Sustainability and AI: Prioritizing Environmental Considerations in Tech Advancements","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; Environmental stewardship; Transformative learning; Stewardship (theology); Software deployment; Harmony (color); Sustainable development; Business; Environmental resource management; Engineering; Political science; Sociology; Economics; Politics","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":[0.01434858,0.0009769952,0.0008078511,0.004620285,0.007841415,0.02224505,0.001534709,0.005296438,0.008049319],"category_scores_gemma":[0.02217714,0.0004199843,0.0005415961,0.004307538,0.01903882,0.01990342,0.01032228,0.005193072,0.001222187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007803711,"about_ca_system_score_gemma":0.01625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003257403,"about_ca_topic_score_gemma":0.007836464,"domain_scores_codex":[0.9862868,0.007784306,0.0005301246,0.0007312546,0.003316928,0.001350604],"domain_scores_gemma":[0.979735,0.01207093,0.001332753,0.0008604782,0.004250479,0.001750389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005436646,0.00007815835,0.003779358,0.0008641154,0.00004448804,0.0004318375,0.003511362,0.002731251,0.0007686751,0.8557404,0.01715852,0.1148375],"study_design_scores_gemma":[0.000008064673,0.00005480684,0.001595197,0.001173823,0.00003191067,0.0002546744,0.01133732,0.001077045,0.0008125396,0.7543154,0.2292993,0.00003990261],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.03108763,0.05119695,0.06217154,0.2760679,0.002917746,0.0002165052,0.0001586501,0.0002367944,0.5759463],"genre_scores_gemma":[0.864893,0.03822957,0.04236593,0.02025694,0.002393414,0.0003308486,0.0001752655,0.0003326095,0.03102233],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.02224505,"threshold_uncertainty_score":0.07588345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005284593373932596,"score_gpt":0.2272712787660299,"score_spread":0.2219866853920973,"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."}}