{"id":"W2006087698","doi":"10.1016/j.colsurfa.2014.11.024","title":"Surface energy and wetting behavior of reservoir rocks","year":2014,"lang":"en","type":"article","venue":"Colloids and Surfaces A Physicochemical and Engineering Aspects","topic":"Adsorption, diffusion, and thermodynamic properties of materials","field":"Chemistry","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"CMG Reservoir Simulation Foundation","keywords":"Wetting; Surface tension; Petroleum reservoir; Inverse gas chromatography; Surface energy; Geology; Petroleum engineering; Mineralogy; Chemistry; Materials science; Thermodynamics; Composite material","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008216783,0.0001885554,0.00031339,0.00001632581,0.0000711794,0.00004146386,0.00008085812,0.00009987434,0.00001655087],"category_scores_gemma":[0.00003760455,0.0001656515,0.00003188356,0.000046815,0.00008240534,0.00007480269,0.0001297869,0.00007083867,2.091674e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001125315,"about_ca_system_score_gemma":0.000007904989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001739867,"about_ca_topic_score_gemma":0.000004860422,"domain_scores_codex":[0.9992108,0.000008540676,0.0001961416,0.0002616691,0.000113547,0.0002093505],"domain_scores_gemma":[0.9995648,0.00008240833,0.00005823079,0.0001455988,0.00003370303,0.0001152677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002375352,0.00003871452,0.0007228752,0.0002662939,0.00001889299,7.315899e-7,0.0001118474,0.0002765825,0.9968411,0.0008852568,0.00001545424,0.0007984356],"study_design_scores_gemma":[0.0009389582,0.0000671643,0.001765979,0.0003088229,0.00006349829,0.00001543268,0.0001231676,0.05489582,0.9388117,0.001187081,0.001335571,0.0004868752],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977703,0.001132717,0.00009697121,0.00002739359,0.00003990105,0.00003097116,0.00001284991,0.00006448809,0.0008243955],"genre_scores_gemma":[0.999048,0.0003352289,0.0002275181,0.000008329341,0.00007811355,0.000006406079,0.000009595349,0.00002396386,0.0002628663],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05802953,"threshold_uncertainty_score":0.6755071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005328036502371659,"score_gpt":0.1829420717461717,"score_spread":0.1776140352438001,"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."}}