{"id":"W7106211563","doi":"10.11575/prism/50733","title":"Feasibility Assessment of Electro-Thermal Energy Storage Adoption in Alberta’s Steam-Intensive Industries for Industrial Decarbonization","year":2025,"lang":"en","type":"other","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Renewable energy; Greenhouse gas; Carbon capture and storage (timeline); Fossil fuel; Capital cost; Sustainability; Electrification; 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":[0.002287556,0.0004070233,0.0001658026,0.001139312,0.001043548,0.002019317,0.0008186307,0.0005443409,0.001373903],"category_scores_gemma":[0.002632679,0.0002318864,0.0005337429,0.001291542,0.0006181314,0.0008692581,0.0006296214,0.0005082757,0.0001139734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01787872,"about_ca_system_score_gemma":0.02428562,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6306092,"about_ca_topic_score_gemma":0.7771851,"domain_scores_codex":[0.9987566,0.0002679268,0.0000392557,0.00007145787,0.0006188525,0.000245833],"domain_scores_gemma":[0.9976859,0.0007696328,0.0001795918,0.00005298901,0.001134801,0.000177102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002321415,0.001385838,0.5278065,0.001756913,0.0004527193,0.003783039,0.002789946,0.1716682,0.05003013,0.03726623,0.006473971,0.194265],"study_design_scores_gemma":[0.0003747529,0.002778555,0.6308368,0.00076011,0.001185079,0.0004144759,0.03257037,0.2205021,0.04731433,0.007425513,0.05556365,0.0002743746],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9755964,0.0005080624,0.001861147,0.0008031616,0.00001522758,0.0002082985,0.0006202039,0.00003290225,0.0203546],"genre_scores_gemma":[0.9957705,0.0004240421,0.001931748,0.00005745055,0.000003928902,0.00003138935,0.0003194458,0.000003361776,0.001458074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3693908,"threshold_uncertainty_score":0.7431325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06056808501264495,"score_gpt":0.3450613343196344,"score_spread":0.2844932493069895,"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."}}