{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00001683569,0.0001401701,0.0001249822,0.00001982991,0.00002715679,0.00003219157,0.000166566,0.00008597356,0.001560357],"category_scores_gemma":[0.00009356651,0.000128626,0.00003228463,0.0001303993,0.00001982655,0.0000949852,0.00003154335,0.0001246939,0.0003416314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002036749,"about_ca_system_score_gemma":0.00001028788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000543938,"about_ca_topic_score_gemma":0.000003198637,"domain_scores_codex":[0.9993432,0.000002662491,0.0001396661,0.0001545609,0.0001004057,0.0002595583],"domain_scores_gemma":[0.9996027,0.0000794881,0.00001402,0.0001435562,0.00004542326,0.0001148267],"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":[0.00003256051,0.0001549465,0.0001497662,0.0005440207,0.0001066042,0.000007202867,0.0001419734,0.0007966359,0.577943,0.005729487,0.330988,0.08340578],"study_design_scores_gemma":[0.0002933579,0.00008098772,0.00005517799,0.0000524565,0.000009796592,0.000006948584,0.00001179435,0.004417879,0.9117284,0.008880345,0.07405987,0.0004029659],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4995361,0.003182488,0.003736524,0.0007467461,0.0007173335,0.0001491302,0.000004934525,0.002558939,0.4893678],"genre_scores_gemma":[0.9964486,0.00006752551,0.0002353737,0.0003236974,0.0003316497,0.00005271806,0.00001150868,0.00003277452,0.002496126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4969125,"threshold_uncertainty_score":0.9993523,"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."}}