{"id":"W7106307197","doi":"10.11575/prism/50722","title":"Waste Heat Recovery and Utilization Potential from Data Centres in Alberta","year":2025,"lang":"en","type":"other","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Electricity; Cogeneration; Waste heat recovery unit; Natural gas; Electricity generation; Energy recovery; Heat recovery ventilation; Energy consumption","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":[0.0002828273,0.0002713377,0.000146569,0.0007531343,0.0009719604,0.001434039,0.000635777,0.0002578459,0.003251009],"category_scores_gemma":[0.0006606543,0.0001196677,0.0003277264,0.001730727,0.0006236976,0.000411326,0.0005594512,0.0002900643,0.0002106883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02057814,"about_ca_system_score_gemma":0.009293223,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9640365,"about_ca_topic_score_gemma":0.9855664,"domain_scores_codex":[0.9996333,0.00003073757,0.000005921848,0.00003322259,0.0001520323,0.0001447339],"domain_scores_gemma":[0.9996638,0.00006507609,0.00002401097,0.00001555015,0.0001811411,0.00005049446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009908163,0.0003471589,0.5347185,0.0003206946,0.0001683903,0.001914103,0.002091194,0.3332099,0.01066873,0.02067608,0.01371231,0.08118226],"study_design_scores_gemma":[0.00008601271,0.0002415394,0.6891013,0.000165945,0.0001620404,0.0003792175,0.02194593,0.2287527,0.01370291,0.004884698,0.04042205,0.0001555214],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.967952,0.0002003093,0.001146749,0.0002027766,0.000007341501,0.0000280885,0.001616207,0.00004868463,0.02879777],"genre_scores_gemma":[0.9932327,0.0001335712,0.0004986132,0.00002442073,0.000001427536,0.000004910121,0.0007330831,0.00001006459,0.005361167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03596348,"threshold_uncertainty_score":0.1493056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0525610212331326,"score_gpt":0.3158542277937955,"score_spread":0.2632932065606629,"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."}}