{"id":"W2512619717","doi":"10.1021/acs.energyfuels.6b01227","title":"Gas Generation during Electrical Heating of Oil Sands","year":2016,"lang":"en","type":"article","venue":"Energy & Fuels","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nexen (Canada); University of Calgary","funders":"","keywords":"Cracking; Coke; Asphalt; Oil sands; Thermal; Volume (thermodynamics); Gas composition; Chemistry; Hydrogen; Hydrogen sulfide; Petroleum engineering; Mineralogy; Materials science; Thermodynamics; Sulfur; Composite material; Geology; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.00005566121,0.0000909661,0.0001540478,0.00005397405,0.000082982,0.00001609796,0.00009221642,0.00006906588,0.0003304832],"category_scores_gemma":[0.00005730952,0.0000656532,0.0000817928,0.000125299,0.00002230674,0.00007187836,0.00001994275,0.0000439322,0.000003619546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004456191,"about_ca_system_score_gemma":0.00003138288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004880668,"about_ca_topic_score_gemma":0.00001112567,"domain_scores_codex":[0.9992472,0.0000126184,0.000209113,0.0001858327,0.000163241,0.0001820294],"domain_scores_gemma":[0.9996194,0.00003145909,0.00009483048,0.0001601985,0.00004403162,0.00005004439],"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":[0.000006434392,0.00001932158,0.0008871025,0.00001767989,0.00002637517,0.000002109708,0.00001629434,0.00001262009,0.8681762,0.0001198263,0.00002338758,0.1306926],"study_design_scores_gemma":[0.0002930219,0.000006968814,0.00003852711,0.00006026213,0.00002218657,0.000004377665,0.00000535073,0.0002712971,0.9977654,0.00005193993,0.001388461,0.0000922278],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9756665,0.000494324,0.0005897154,0.00009826302,0.0000166423,3.189527e-7,0.000002208281,0.00004747739,0.0230845],"genre_scores_gemma":[0.9712563,0.0001627793,0.0001836388,0.00001925294,0.0004098477,0.000004995007,0.000007249524,0.00001235134,0.02794364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1306004,"threshold_uncertainty_score":0.3618559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008909608411078586,"score_gpt":0.2193183144022922,"score_spread":0.2104087059912136,"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."}}