{"id":"W2762918539","doi":"10.1016/j.petrol.2017.09.055","title":"Effects of surface roughness and mineral heterogeneity on pore-scale steam condensation","year":2017,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Fluid Dynamics and Heat Transfer","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Maersk Oil; Natural Sciences and Engineering Research Council of Canada; CMG Reservoir Simulation Foundation; Suncor Energy Incorporated; Canadian Natural Resources Limited; University of Calgary","keywords":"Surface finish; Materials science; Condensation; Surface roughness; Mineral; Mineralogy; Petroleum engineering; Chemical engineering; Geology; Metallurgy; Composite material; Thermodynamics; Engineering; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000162305,0.0001568486,0.0002672414,0.0002033913,0.0002496799,0.0004931646,0.0001872992,0.0002747589,0.002469549],"category_scores_gemma":[0.00110181,0.0002097191,0.0002518981,0.0001312284,0.0003835111,0.0004605369,0.0002590997,0.0003211042,0.0001822428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002978423,"about_ca_system_score_gemma":0.0002181239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00269643,"about_ca_topic_score_gemma":0.002433276,"domain_scores_codex":[0.9998584,0.0000169183,0.00001042609,0.00002411649,0.00003449622,0.00005574642],"domain_scores_gemma":[0.9992344,0.000499277,0.00006622144,0.00004188269,0.0000820494,0.0000761471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002057676,0.0001348156,0.005509504,0.00009830499,0.00004743023,0.0001660493,0.00006848385,0.01137081,0.9752122,0.0004129286,0.0001587185,0.004763145],"study_design_scores_gemma":[0.00012885,0.0008543413,0.04142658,0.000005802189,0.00008434422,0.00008179258,0.0002633467,0.08435097,0.8719524,0.0002635527,0.0005352598,0.00005283585],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993098,0.00006038681,0.0001816158,0.0000158502,0.000006561677,0.000002736574,0.00002922113,0.000009800189,0.0003840406],"genre_scores_gemma":[0.9998662,0.00001836048,0.00003358904,0.000002424435,0.000001773739,6.769091e-7,0.000009256103,0.000002560402,0.0000651146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00269643,"threshold_uncertainty_score":0.008261442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005995657406571747,"score_gpt":0.212123149216087,"score_spread":0.2061274918095153,"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."}}