{"id":"W4281864950","doi":"10.1016/j.fuel.2022.124740","title":"Measurement and modeling of methane diffusion in hydrocarbon mixtures","year":2022,"lang":"en","type":"article","venue":"Fuel","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Office of Science; Aramco Americas; Energi Simulation; U.S. Department of Energy","keywords":"Dissolution; Diffusion; Chemistry; Solubility; Hydrocarbon; Methane; Mass transfer; Thermodynamics; Hexadecane; Ternary operation; Hydrocarbon mixtures; Alkane; Molecular diffusion; Decane; Analytical Chemistry (journal); Chromatography; Organic chemistry","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":[0.0002383154,0.00005924977,0.0001225647,0.0001537219,0.00001620364,0.000003825915,0.00005670777,0.00001852938,0.00002776944],"category_scores_gemma":[0.00001200804,0.00005749593,0.00002916789,0.000201772,0.00000546007,0.0000290441,0.00004323863,0.0001007783,5.311737e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004416891,"about_ca_system_score_gemma":0.000006845708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009894762,"about_ca_topic_score_gemma":0.0001012314,"domain_scores_codex":[0.9993744,0.00003567657,0.0001550668,0.00008258636,0.0002682689,0.00008392463],"domain_scores_gemma":[0.9998506,0.000004871529,0.00001355627,0.00009117445,0.0000117952,0.00002801193],"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":[0.00000671405,0.000021777,0.0002825404,0.000049784,0.00002020387,0.000002240887,0.0007069487,0.9520583,0.04647589,0.00002315861,0.00001431768,0.0003381112],"study_design_scores_gemma":[0.0002363304,0.00001415156,0.0000774888,0.000009002992,0.0000106816,6.97849e-7,0.0002422573,0.997377,0.001458158,0.0003606078,0.0001496022,0.00006405744],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889851,0.004801904,0.003376959,0.00009380681,0.00008405725,0.00007607129,0.000002005008,0.00004955096,0.002530519],"genre_scores_gemma":[0.9996742,0.0001827227,0.00007278667,0.00001551923,0.00001082118,0.00001876343,0.000003330857,0.000009556011,0.00001229804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04531866,"threshold_uncertainty_score":0.2344616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02379121353797045,"score_gpt":0.2219261339729682,"score_spread":0.1981349204349978,"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."}}