{"id":"W2172194770","doi":"10.1002/cjce.20689","title":"Prediction of temperature, pressure, density, velocity distribution in H‐T‐H‐P gas wells","year":2011,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geothermal gradient; Thermodynamics; Momentum (technical analysis); Thermal; Conservation of mass; Geothermal energy; Mass transfer; Heat transfer; Conservation law; Thermal conductivity; Mechanics; Chemistry; Physics; Geophysics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003008945,0.0004390694,0.0003946031,0.0002589458,0.0004015271,0.0005272399,0.0006228971,0.0009110629,0.0004720812],"category_scores_gemma":[0.0006988575,0.0003867936,0.0004069205,0.0002856053,0.0006621075,0.0006456794,0.000367646,0.0004982442,0.00006677056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001028769,"about_ca_system_score_gemma":0.001054772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03649648,"about_ca_topic_score_gemma":0.01167787,"domain_scores_codex":[0.9999207,0.00002344222,0.000002893843,0.0000188242,0.00001529635,0.00001889486],"domain_scores_gemma":[0.9997712,0.0001150523,0.00003307715,0.00001290588,0.00004136968,0.00002633868],"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":[0.0000222783,0.00001763744,0.002422308,0.000004784814,0.000005964596,0.00004630055,0.000009294509,0.994643,0.001674721,0.0004382516,0.00005389671,0.0006615855],"study_design_scores_gemma":[0.000003771068,0.000006096708,0.0002512874,3.527348e-7,9.50328e-7,0.000002352717,0.000003239778,0.9992873,0.0003384735,0.00009000272,0.00001432954,0.00000194772],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9492465,0.00007256126,0.0481024,0.0001461066,0.00001382135,0.00002251787,0.0001483654,0.0001694941,0.002078234],"genre_scores_gemma":[0.9971263,0.00001902646,0.002468778,0.000005168768,0.000001470562,0.00001034127,0.00003014503,0.000006410211,0.0003324717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03649648,"threshold_uncertainty_score":0.07256806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01879465805740769,"score_gpt":0.200425104331316,"score_spread":0.1816304462739083,"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."}}