{"id":"W2284982941","doi":"10.1021/acs.energyfuels.5b02493","title":"Dielectric Relaxation-Based Capacitive Heating of Oil Sands","year":2016,"lang":"en","type":"article","venue":"Energy & Fuels","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Institute for Oil Sands Innovation, University of Alberta; Canada Excellence Research Chairs, Government of Canada; Canada Research Chairs","keywords":"Capacitive sensing; Dielectric spectroscopy; Materials science; Relaxation (psychology); Electrical impedance; Dielectric; Silicate; Capacitance; Analytical Chemistry (journal); Electric heating; Composite material; Chemistry; Optoelectronics; Electrical engineering; Electrode; Electrochemistry; Chromatography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0001587907,0.0001022116,0.0001761854,0.00007689977,0.00007472164,0.000008153535,0.0001134363,0.00005721473,0.001156461],"category_scores_gemma":[0.0002813436,0.00006002491,0.00007801093,0.0004743989,0.0000638628,0.00007938616,0.000003610686,0.00005737551,0.00004472327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004220033,"about_ca_system_score_gemma":0.00004710525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002028815,"about_ca_topic_score_gemma":0.0002074152,"domain_scores_codex":[0.9990143,0.0001399016,0.0001908259,0.0001941666,0.000199396,0.0002614295],"domain_scores_gemma":[0.998585,0.00104147,0.00009841182,0.000120183,0.000058479,0.00009649391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003213734,0.00001804599,0.006759463,0.000006483178,0.00001057391,0.000001866213,0.00002087572,0.00011482,0.01002077,0.001259777,0.00004042005,0.9817148],"study_design_scores_gemma":[0.001040975,0.00115889,0.3756294,0.0001033636,0.00003500765,0.000002975483,0.00001799533,0.00334022,0.5771642,0.03356117,0.007478087,0.0004676837],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9478819,0.0004141731,0.009109671,0.0005047191,0.0001538839,0.00001902937,0.00002825346,0.0000439724,0.04184441],"genre_scores_gemma":[0.9958581,0.00003319776,0.001673273,0.0002202145,0.0001185277,0.000001728996,0.00001161325,0.000002690768,0.002080631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9812471,"threshold_uncertainty_score":0.9997566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01168262455770572,"score_gpt":0.2149965584281139,"score_spread":0.2033139338704082,"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."}}