{"id":"W1964751334","doi":"10.1016/j.jct.2013.09.011","title":"The importance of liquid phase compositions in gas hydrate modeling: Carbon dioxide–methane–water case study","year":2013,"lang":"en","type":"article","venue":"The Journal of Chemical Thermodynamics","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Chemistry; Methane; Hydrate; Carbon dioxide; Clathrate hydrate; Phase (matter); Gas phase; Chemical engineering; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005203682,0.0006744363,0.0006582901,0.0004460166,0.00079253,0.001109942,0.0007842746,0.002061582,0.001294867],"category_scores_gemma":[0.002569051,0.0003858355,0.0004591846,0.0005918813,0.0009174672,0.001147542,0.000786475,0.0007998747,0.0000831034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006371257,"about_ca_system_score_gemma":0.0006496022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02976014,"about_ca_topic_score_gemma":0.0178171,"domain_scores_codex":[0.9998713,0.00005905189,0.00000581134,0.00001369307,0.0000214334,0.00002865105],"domain_scores_gemma":[0.9988706,0.0009050194,0.00005934841,0.00003587565,0.00007435287,0.00005490228],"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":[0.0001917807,0.0001334142,0.002735985,0.00007226427,0.00002627425,0.0004786907,0.00004946245,0.982057,0.004948923,0.005621549,0.0003495167,0.003335167],"study_design_scores_gemma":[0.00002158732,0.00003109404,0.0002810601,0.000004037038,0.00001059432,0.00001453399,0.00003903064,0.9964727,0.001991763,0.000917727,0.0002092988,0.000006577583],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9728652,0.000859966,0.01147755,0.001244975,0.000058804,0.00004945111,0.0001960891,0.00006928302,0.01317863],"genre_scores_gemma":[0.9969168,0.0001675817,0.001707996,0.00002891222,0.00002165908,0.00001125913,0.00002897228,0.00001525212,0.00110164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02976014,"threshold_uncertainty_score":0.05917382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01323548212299477,"score_gpt":0.251871821636214,"score_spread":0.2386363395132192,"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."}}