{"id":"W4320477707","doi":"10.1016/j.fuel.2023.127488","title":"Microscopic insights into synergism effect of different hydrate inhibitors on methane hydrate formation: Experiments and molecular dynamics simulations","year":2023,"lang":"en","type":"article","venue":"Fuel","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":66,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Hydrate; Methane; Clathrate hydrate; Chemistry; Molecular dynamics; Kinetic energy; Flow assurance; Molecule; Steric effects; Chemical engineering; Computational chemistry; 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":[0.0002839811,0.0005202201,0.0005635483,0.0002505228,0.0004895649,0.0003839523,0.0007548652,0.0005170639,0.00399236],"category_scores_gemma":[0.0005608366,0.000346295,0.0002860179,0.0002479924,0.0006271654,0.001021043,0.0004156267,0.0007828097,0.0001585744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007116195,"about_ca_system_score_gemma":0.0005978394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004359844,"about_ca_topic_score_gemma":0.003723026,"domain_scores_codex":[0.9998958,0.00001234397,0.00000427114,0.00001781816,0.00003092647,0.00003887518],"domain_scores_gemma":[0.9998159,0.0001053441,0.00002151444,0.00002140726,0.00001564961,0.00002016368],"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":[0.001918241,0.001034694,0.004098131,0.0007868997,0.0001596595,0.0005155695,0.0003965083,0.4643924,0.4784708,0.03429511,0.001642348,0.01228961],"study_design_scores_gemma":[0.0002174387,0.0002802602,0.002275193,0.00001557059,0.00004586231,0.00002866106,0.0001399314,0.8777339,0.1148314,0.003241077,0.001144498,0.00004627639],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881561,0.0003999418,0.005739776,0.0003524124,0.00002997401,0.00002454505,0.0002067949,0.000111737,0.004978778],"genre_scores_gemma":[0.9983855,0.0002047179,0.0009563084,0.00002434757,0.00000439507,0.00002033425,0.00006658886,0.00001298667,0.0003246782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004359844,"threshold_uncertainty_score":0.01335573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006100471403555878,"score_gpt":0.2397306760784146,"score_spread":0.2336302046748587,"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."}}