{"id":"W4406893284","doi":"10.71190/2019-10pdpetro-72341","title":"ANLISE TCNICO-ECONMICA DO PROCESSO DE RECUPERAO AVANADA POR DRENAGEM GRAVITACIONAL ASSISTIDA POR VAPOR (SAGD).","year":2025,"lang":"es","type":"article","venue":"","topic":"Electrohydrodynamics and Fluid Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geology; Geomorphology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004007829,0.0007801611,0.0007567482,0.000493741,0.0003241024,0.0005180634,0.0007491616,0.0005573601,0.0006080763],"category_scores_gemma":[0.0001801895,0.0008034087,0.0003228751,0.0008829917,0.0001140352,0.0002962222,0.0002058546,0.0009201994,0.0002591905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008113198,"about_ca_system_score_gemma":0.0007465762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005036747,"about_ca_topic_score_gemma":0.0004768218,"domain_scores_codex":[0.9962987,0.00006593164,0.0009257896,0.0009200741,0.0004391387,0.001350415],"domain_scores_gemma":[0.9982011,0.0001880918,0.0001313494,0.0008184347,0.0003011279,0.0003598935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005365975,0.001325078,0.02207639,0.004810766,0.00300071,0.0006900824,0.0003280643,0.02518488,0.03894534,0.7713098,0.1011744,0.03061792],"study_design_scores_gemma":[0.00155242,0.0002307799,0.01009037,0.000645839,0.0003880933,0.00007247621,0.00004887995,0.9108225,0.0009614243,0.006513452,0.06703138,0.001642361],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6250653,0.008133896,0.04009093,0.004244679,0.004225598,0.001917467,0.001089801,0.001539703,0.3136927],"genre_scores_gemma":[0.9539773,0.001533395,0.006613753,0.0007178509,0.0003260315,0.00008319834,0.0003806861,0.000163492,0.03620432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8856376,"threshold_uncertainty_score":0.9994417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003089971552372079,"score_gpt":0.2164886547576469,"score_spread":0.2133986832052748,"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."}}