{"id":"W7014725786","doi":"","title":"To reduce AI’s carbon imprint, Canada should focus on low-carbon construction materials for data centres","year":2025,"lang":"en","type":"other","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Focus (optics); Carbon fibers; Work (physics); Carbon footprint","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00260515,0.0009601387,0.0003811127,0.002448471,0.005053245,0.00533109,0.003173731,0.005122968,0.1973717],"category_scores_gemma":[0.007847071,0.0005889589,0.001306217,0.002979615,0.00167484,0.003138006,0.003046192,0.004139913,0.04333191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02729548,"about_ca_system_score_gemma":0.09607213,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8607098,"about_ca_topic_score_gemma":0.9163471,"domain_scores_codex":[0.9953895,0.0001982371,0.00007793625,0.0001600988,0.002571415,0.001602793],"domain_scores_gemma":[0.9830173,0.001271003,0.0003481189,0.0007793946,0.0112696,0.00331456],"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":[0.00005439691,0.00009996589,0.001242565,0.0001664114,0.000008947916,0.00008332103,0.000100837,0.0003737533,0.00106888,0.02279858,0.931114,0.04288841],"study_design_scores_gemma":[0.0000129355,0.00001344056,0.002239628,0.00006892973,0.000003476981,0.00002914894,0.000216696,0.0003800652,0.0007790546,0.001824186,0.994416,0.00001651085],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.006538307,0.001248452,0.004102209,0.1021067,0.002859363,0.0004122895,0.01606296,0.002653267,0.8640165],"genre_scores_gemma":[0.02015842,0.001197343,0.00678,0.02375916,0.0001866972,0.0001779664,0.00755277,0.0007018592,0.9394858],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.1973717,"threshold_uncertainty_score":0.6602741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01389919681627905,"score_gpt":0.2655883196281847,"score_spread":0.2516891228119056,"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."}}