{"id":"W2077360344","doi":"10.2118/94986-ms","title":"Recent In-Situ Oil Recovery-Technologies for Heavy- and Extraheavy-Oil Reserves","year":2005,"lang":"en","type":"article","venue":"SPE Latin American and Caribbean Petroleum Engineering Conference","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Petroleum engineering; Oil reserves; Steam-assisted gravity drainage; Steam injection; Environmental science; Enhanced oil recovery; Oil production; Petroleum; Unconventional oil; Oil sands; Waste management; Fossil fuel; Engineering; Geology; Materials science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000179439,0.0003554166,0.0004767292,0.0002900101,0.00004313071,0.0001061727,0.0002138727,0.0001259733,0.000009320898],"category_scores_gemma":[0.0001414066,0.0003886585,0.000052237,0.0002857881,0.0001548356,0.0002364552,0.00008239078,0.0003844675,0.000002278534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001554265,"about_ca_system_score_gemma":0.00002907174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004761916,"about_ca_topic_score_gemma":0.000450217,"domain_scores_codex":[0.998514,0.00001497327,0.0003639713,0.0004174373,0.0001447825,0.0005448302],"domain_scores_gemma":[0.999312,0.0001543806,0.00006359385,0.0003215345,0.00004895875,0.00009955586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003650634,0.00001890428,0.0005281038,0.0002026686,0.00003122439,0.000003446886,0.0001467995,0.009807111,0.01958899,0.0009421498,0.0002066919,0.9684874],"study_design_scores_gemma":[0.002742257,0.001353763,0.0191642,0.00153949,0.00009651794,0.00006262228,0.00221839,0.4712617,0.204854,0.001258406,0.2916586,0.003790047],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9557227,0.005495861,0.02114628,0.001420849,0.0002339225,0.0001376077,0.00007366725,0.002640931,0.01312813],"genre_scores_gemma":[0.9366149,0.02395151,0.03880853,0.00003057999,0.00006163237,0.0001251849,0.00001302894,0.00006883777,0.0003257905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9646974,"threshold_uncertainty_score":0.9998565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01035166912286489,"score_gpt":0.2219358921461456,"score_spread":0.2115842230232807,"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."}}