{"id":"W1999209065","doi":"10.2118/117693-ms","title":"Electro-Magnetic Heating in Viscous Oil Reservoir","year":2008,"lang":"en","type":"article","venue":"International Thermal Operations and Heavy Oil Symposium","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Petroleum engineering; Overburden; Viscosity; Process (computing); Mechanics; Steam injection; Thermal; Resistor; Joule heating; Magnetic field; Resistive touchscreen; Materials science; Environmental science; Geology; Computer science; Electrical engineering; Voltage; Thermodynamics; Geotechnical engineering; Engineering; Physics; Composite material","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000161421,0.0001216092,0.0001441926,0.00009998302,0.0002578353,0.00007633819,0.0001692564,0.00005385844,0.0007700399],"category_scores_gemma":[0.00004667582,0.00009859543,0.00004068842,0.0002142566,0.00007275798,0.0002441446,0.00001684595,0.0001990856,0.00009119475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009573434,"about_ca_system_score_gemma":0.00005127062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004631227,"about_ca_topic_score_gemma":0.001074998,"domain_scores_codex":[0.9989156,0.000101326,0.0002488647,0.0002460499,0.0002303866,0.0002578414],"domain_scores_gemma":[0.9995823,0.0001394397,0.00002148466,0.00009081834,0.00006710197,0.0000988528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005972999,0.0004956668,0.1299315,0.00004311046,0.00007172387,0.0001915623,0.002223033,0.1628306,0.02745642,0.0041603,0.00032101,0.6716778],"study_design_scores_gemma":[0.001257304,0.0008003031,0.6269174,0.00006461684,0.00001331884,0.0001994796,0.00008003782,0.3547119,0.002999279,0.0008858628,0.01150097,0.000569523],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9541349,0.0004671994,0.00003213237,0.004056334,0.0001909856,0.00002824206,0.00001776204,0.00002386299,0.04104853],"genre_scores_gemma":[0.9912288,0.0004926359,0.001742249,0.0005739626,0.000260203,0.000007160867,0.00004334087,0.000004070146,0.005647569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6711083,"threshold_uncertainty_score":0.8431397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01581733955194543,"score_gpt":0.2505381043989229,"score_spread":0.2347207648469775,"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."}}