{"id":"W2462714596","doi":"10.1021/acs.energyfuels.6b00954","title":"Conduction and Dielectric Relaxation Mechanisms in Athabasca Oil Sands with Application to Electrical Heating","year":2016,"lang":"en","type":"article","venue":"Energy & Fuels","topic":"NMR spectroscopy and applications","field":"Physics and Astronomy","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canada Excellence Research Chairs, Government of Canada","keywords":"Oil sands; Thermal conduction; Asphalt; Electrical conduction; Dielectric; Relaxation (psychology); Materials science; Water content; Electrical resistivity and conductivity; Bound water; Mineralogy; Chemistry; Composite material; Geology; Geotechnical engineering; Optoelectronics; Molecule; Organic chemistry; Electrical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001183266,0.000263395,0.0001350036,0.0007462825,0.0003408879,0.0002837275,0.0001706559,0.0001885693,0.0004878185],"category_scores_gemma":[0.0002116366,0.0001433207,0.000134118,0.0003896852,0.0002898874,0.0001877317,0.0001791574,0.000163913,0.00006816666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003341808,"about_ca_system_score_gemma":0.0002003653,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009448457,"about_ca_topic_score_gemma":0.01559951,"domain_scores_codex":[0.9999392,0.000006085855,0.000004687538,0.0000136712,0.00001637417,0.00002008828],"domain_scores_gemma":[0.9998529,0.00002969462,0.00003748943,0.000007483235,0.00004218376,0.00003017286],"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":[0.0001994849,0.00001736693,0.005315646,0.00003762349,0.0000051474,0.0001249359,0.0001664943,0.0005120387,0.9912007,0.00003689688,0.000006638033,0.002376993],"study_design_scores_gemma":[0.00001653085,0.000485622,0.1098177,0.00001200182,0.0000477201,0.0003383085,0.0009012562,0.00422277,0.883009,0.000157587,0.0009595204,0.00003209081],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994929,0.00004233002,0.000203565,0.000005010582,6.351556e-7,0.000004127296,0.00003518675,0.000004885549,0.0002113887],"genre_scores_gemma":[0.9992055,0.00006732939,0.0003958414,0.000003293425,5.654886e-7,0.000004580792,0.00004105222,0.000001914166,0.0002798951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9905515,"threshold_uncertainty_score":0.01878697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004997734989545439,"score_gpt":0.2515669382056308,"score_spread":0.2465692032160853,"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."}}