{"id":"W7124557992","doi":"10.5281/zenodo.18294042","title":"A Systems-Level Framework for Integrating Geothermal Energy, AI Data Centres, Underground Infrastructure, and Vertical Hydroponics in Alberta","year":2025,"lang":"en","type":"preprint","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Repurposing; Renewable energy; Geothermal gradient; Trenchless technology; Resource (disambiguation); Geothermal energy; Electricity","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":[0.000553426,0.000776821,0.0002821177,0.0009288251,0.001964757,0.00468953,0.002133369,0.00104102,0.006515032],"category_scores_gemma":[0.0006331064,0.0004371983,0.0006323032,0.001644729,0.002726466,0.001939325,0.003262251,0.00128026,0.0005490988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01379728,"about_ca_system_score_gemma":0.0145651,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.694508,"about_ca_topic_score_gemma":0.7513531,"domain_scores_codex":[0.9996131,0.00007915995,0.00001442228,0.00008261223,0.0001128559,0.00009793918],"domain_scores_gemma":[0.9997875,0.00003865508,0.00001938518,0.00002591692,0.00007001574,0.00005857079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000193804,0.00002055106,0.001867091,0.00005482314,0.00002676075,0.000271989,0.0004637057,0.1781548,0.00106744,0.805537,0.001757619,0.01075883],"study_design_scores_gemma":[0.00003413799,0.00003686574,0.003625053,0.0001929829,0.0001133657,0.0001919504,0.002884691,0.4889025,0.001487612,0.336235,0.1662192,0.00007656853],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07019839,0.001915802,0.6807663,0.005625507,0.0002142419,0.0002670543,0.002257863,0.0008796151,0.2378752],"genre_scores_gemma":[0.7557198,0.001715264,0.2008445,0.0003138513,0.00005910395,0.0001949384,0.0009812976,0.0001318271,0.04003933],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.305492,"threshold_uncertainty_score":0.6145823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0423037296355761,"score_gpt":0.2768578826545486,"score_spread":0.2345541530189725,"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."}}