{"id":"W1934141789","doi":"10.1306/13371590st643559","title":"Geologic Reservoir Characterization and Evaluation of the Petrocedeño Field, Early Miocene Oficina Formation, Orinoco Heavy Oil Belt, Venezuela","year":2013,"lang":"en","type":"book-chapter","venue":"American Association of Petroleum Geologists eBooks","topic":"Geological and Tectonic Studies in Latin America","field":"Earth and Planetary Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Petro-Canada","funders":"","keywords":"Oil sands; Geology; Asphalt; Resource (disambiguation); Oil field; Petroleum engineering; Steam-assisted gravity drainage; Geochemistry; Unconventional oil; Petroleum; Mining engineering; Earth science; Paleontology; Archaeology; Geography; Oil shale","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009829029,0.0003735459,0.0008114923,0.0001451452,0.0002453041,0.00002589666,0.00042433,0.000315693,0.002037338],"category_scores_gemma":[0.0007979274,0.0002667285,0.0002094183,0.00009306714,0.0008316608,0.00009967501,0.0001373333,0.0004263663,0.00004047805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008839302,"about_ca_system_score_gemma":0.000126919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002061197,"about_ca_topic_score_gemma":0.0004440216,"domain_scores_codex":[0.9968879,0.0003254291,0.0008769091,0.000439118,0.001074993,0.000395606],"domain_scores_gemma":[0.994822,0.0007101222,0.003210624,0.000426795,0.0007525525,0.00007793817],"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":[0.0001671384,0.00004108964,0.4599691,0.0001774924,0.0004618639,0.000001934711,0.0005624484,0.0007998223,0.0001447989,0.002644605,0.0007823581,0.5342473],"study_design_scores_gemma":[0.0005818658,0.0009819149,0.985227,0.0001087335,0.0003153517,0.000006700471,0.0001003408,0.002201368,0.0001349162,0.00257814,0.007373631,0.0003900374],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5801885,0.000369737,0.00005038512,0.001106174,0.0003521172,0.0003376573,0.0001420119,0.00004889941,0.4174045],"genre_scores_gemma":[0.9304977,0.0003968767,0.0001594074,0.0002713243,0.0001027352,0.00001693402,0.0001794746,0.00001010404,0.06836542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5338573,"threshold_uncertainty_score":0.9999785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01602589521908158,"score_gpt":0.2198723795615903,"score_spread":0.2038464843425087,"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."}}