{"id":"W1964153167","doi":"10.1080/00986445.2012.703150","title":"CALCULATING PSEUDO-STEADY-STATE HORIZONTAL OIL WELL PRODUCTIVITY IN RECTANGULAR DRAINAGE AREAS USING A SIMPLE METHOD","year":2012,"lang":"en","type":"article","venue":"Chemical Engineering Communications","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Benchmark (surveying); Productivity; Directional drilling; Simple (philosophy); Oil field; Steady state (chemistry); Work (physics); Petroleum engineering; Field (mathematics); Drilling; Computer science; Engineering; Industrial engineering; Mathematics; Geology; Mechanical engineering","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"],"consensus_categories":[],"category_scores_codex":[0.0009258026,0.0003267486,0.0003897595,0.0002370368,0.00008321607,0.00004485415,0.0005655785,0.0001620399,0.00001179096],"category_scores_gemma":[0.0005175779,0.0003843624,0.000120314,0.0007829406,0.00004076084,0.000310226,0.0002380935,0.0007638312,0.000009238939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003831121,"about_ca_system_score_gemma":0.00001885567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000592569,"about_ca_topic_score_gemma":0.000003716564,"domain_scores_codex":[0.9982808,0.0001169701,0.0004999135,0.000240695,0.0002014585,0.0006601983],"domain_scores_gemma":[0.9978176,0.0005107523,0.00004890055,0.001342195,0.00005037734,0.0002301147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002553456,0.00004885114,0.0004263693,0.000122916,0.00003062638,0.000001188839,0.0005350141,0.7583486,0.2378981,0.000422619,0.000006499733,0.0021567],"study_design_scores_gemma":[0.000302299,0.000004159307,0.0003032949,0.00008239934,0.00002058533,0.00002293226,0.0000476171,0.9579258,0.03890884,0.00007974837,0.001884042,0.0004182953],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7223172,0.001000101,0.2738894,0.00003756553,0.0001881356,0.0001386873,0.00001059422,0.0007027396,0.001715645],"genre_scores_gemma":[0.7064695,0.00002068982,0.2932104,0.000004397865,0.0001067151,0.0000467934,0.00003583904,0.00008432147,0.00002137022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1995772,"threshold_uncertainty_score":0.9998608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03028950766337543,"score_gpt":0.3078795949600251,"score_spread":0.2775900872966497,"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."}}