{"id":"W2037073478","doi":"10.2118/171073-ms","title":"Assisted Extra Heavy Oil Sampling by Electromagnetic Heating","year":2014,"lang":"en","type":"article","venue":"","topic":"NMR spectroscopy and applications","field":"Physics and Astronomy","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Acceleware (Canada)","funders":"","keywords":"Petroleum engineering; Volume (thermodynamics); Sampling (signal processing); Viscosity; Drilling fluid; Environmental science; Electromagnetic field; Mechanics; Drilling; Geology; Mechanical engineering; Materials science; Engineering; Electrical engineering; Detector; Physics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007815727,0.0001041905,0.000114802,0.00001733009,0.0001932108,0.00007500271,0.0001097788,0.0000204951,0.00109424],"category_scores_gemma":[0.000003600571,0.00009804123,0.00005095425,0.0001166197,0.00001972967,0.00005976402,0.00001724619,0.0001190892,0.00009750564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001168766,"about_ca_system_score_gemma":0.00001507518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002761344,"about_ca_topic_score_gemma":0.000004646856,"domain_scores_codex":[0.9992869,0.00002012485,0.0001601715,0.0002001956,0.00007868406,0.0002538854],"domain_scores_gemma":[0.9995801,0.00008878305,0.00004517453,0.0001948665,0.0000195357,0.00007155723],"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":[0.000005175626,0.0001895717,0.003090521,0.000009758533,0.00002597824,3.36167e-8,0.00003998733,0.0000137948,0.5598807,0.285285,0.005150554,0.1463089],"study_design_scores_gemma":[0.002090924,0.0005477424,0.006540355,0.00009514384,0.0001274808,0.00000521318,0.0004165615,0.01541684,0.6140276,0.05806838,0.3011045,0.001559347],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4151001,0.00006363299,0.2723074,0.0007253386,0.00005519895,0.0000641389,0.00001039169,0.0001339844,0.3115399],"genre_scores_gemma":[0.9797392,0.000001461913,0.01495825,0.0001164977,0.000239768,0.00004845171,0.00004559342,0.00001467001,0.004836145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5646391,"threshold_uncertainty_score":0.9998189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01241138148367986,"score_gpt":0.3059754535754041,"score_spread":0.2935640720917242,"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."}}