{"id":"W2008821940","doi":"10.1016/j.egypro.2013.05.155","title":"Cenovus 10 MW CLC Field Pilot","year":2013,"lang":"en","type":"article","venue":"Energy Procedia","topic":"Chemical Looping and Thermochemical Processes","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cenovus Energy (Canada)","funders":"","keywords":"Waste management; Greenhouse gas; Engineering; Steam-assisted gravity drainage; Boiler (water heating); Natural gas; Fossil fuel; Steam injection; Electricity generation; Oil sands; Environmental science; Asphalt; Combustion; Environmental engineering; Petroleum engineering; Process engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004001742,0.0003685032,0.0002772924,0.0002509555,0.0004685449,0.0003513403,0.0006588757,0.0004207497,0.007702285],"category_scores_gemma":[0.0004806604,0.0001236593,0.0001668682,0.0001485245,0.0003410958,0.0003217002,0.0004071312,0.0006641159,0.001373553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007389617,"about_ca_system_score_gemma":0.001052702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005737747,"about_ca_topic_score_gemma":0.007100868,"domain_scores_codex":[0.9997782,0.00001806383,0.000005019197,0.00003698667,0.0001067185,0.00005509595],"domain_scores_gemma":[0.9996657,0.00003489154,0.00001603541,0.00002866319,0.0001731245,0.00008147664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005812676,0.002071897,0.0161498,0.0008235409,0.00004286192,0.002063845,0.001128381,0.01794461,0.803043,0.004680511,0.02776576,0.1184731],"study_design_scores_gemma":[0.001102495,0.02036091,0.03507986,0.00007163686,0.00005681656,0.0008576702,0.0008695139,0.04377405,0.7433338,0.0006371536,0.1537636,0.00009248299],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9554013,0.00009534805,0.01580138,0.0002493236,0.000147763,0.001598468,0.00122724,0.001679379,0.02379985],"genre_scores_gemma":[0.9700717,0.00004643716,0.005704328,0.00008407528,0.00001423761,0.0003242165,0.001005194,0.0001073431,0.02264251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007702285,"threshold_uncertainty_score":0.02576673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00507216069789953,"score_gpt":0.1649807652361632,"score_spread":0.1599086045382637,"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."}}