{"id":"W4252026503","doi":"10.2523/100540-ms","title":"Semianalytical Model for Reservoirs With Forchheimer’s Non-Darcy Flow","year":2006,"lang":"en","type":"article","venue":"Proceedings of SPE Gas Technology Symposium","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Citation; Darcy's law; Computer science; Flow (mathematics); Operations research; Petroleum engineering; Geology; Engineering; Library science; Porous medium; Physics; Porosity; Geotechnical engineering; Mechanics","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":[0.0001640705,0.0002981579,0.0004940932,0.0006391824,0.00009559396,0.00004388858,0.0004928255,0.0004082165,0.000005868027],"category_scores_gemma":[0.00001983593,0.0002515665,0.0001515885,0.0006934196,0.0002568743,0.0002557928,0.00007498012,0.0003563765,0.000007215957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008004809,"about_ca_system_score_gemma":0.00002676647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002261497,"about_ca_topic_score_gemma":0.00002285731,"domain_scores_codex":[0.9983711,7.528154e-7,0.000410831,0.0003823585,0.0002470952,0.0005879199],"domain_scores_gemma":[0.9992926,0.00002488809,0.0000904233,0.0002174206,0.000295433,0.00007922481],"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":[0.00008757903,0.0001247663,0.002223811,0.0006501526,0.0004042241,0.000004649727,0.00009332599,0.9220701,0.06056725,0.003401685,0.01001021,0.0003622333],"study_design_scores_gemma":[0.0005320326,0.0001202177,0.00002129994,0.00008566203,0.0001959261,0.00001926915,0.00010019,0.8397753,0.150583,0.007218013,0.001072481,0.0002766985],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8330411,0.0004133275,0.1140601,0.01361568,0.00009911624,0.000971696,0.00004179184,0.001913961,0.03584318],"genre_scores_gemma":[0.9691094,0.0000888508,0.02865499,0.00001443726,0.0001019697,0.0001169942,0.00001038075,0.000080652,0.001822298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1360683,"threshold_uncertainty_score":0.9999937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005134435883331677,"score_gpt":0.201160409907824,"score_spread":0.1960259740244923,"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."}}