{"id":"W3127217180","doi":"10.1021/acs.iecr.0c05808","title":"Effects of Hydrophobic and Hydrophilic Graphene Nanoflakes on Methane Dissolution Rates in Water under Vapor–Liquid–Hydrate Equilibrium Conditions","year":2021,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dissolution; Methane; Economies of agglomeration; Chemical engineering; Hydrate; Graphene; Aqueous solution; Carbon nanotube; Materials science; Chemistry; Nanotechnology; Organic chemistry","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":[0.0002415066,0.0003501042,0.0001770491,0.0001553542,0.0002056771,0.0002040354,0.0001411964,0.0002238609,0.0008244173],"category_scores_gemma":[0.0005322486,0.0001906602,0.0002069204,0.0001349113,0.000252791,0.0004322286,0.0002349131,0.0004086381,0.0001434489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002871299,"about_ca_system_score_gemma":0.0001613158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002198504,"about_ca_topic_score_gemma":0.003708198,"domain_scores_codex":[0.9998174,0.00003124998,0.00001372543,0.00003169258,0.00005256917,0.00005344169],"domain_scores_gemma":[0.9997601,0.0001050687,0.00005421808,0.00001135894,0.00004360128,0.00002562547],"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":[0.0001549754,0.0000141471,0.000159182,0.00004614647,0.000004510305,0.00003605649,0.00005470156,0.0001361574,0.9984213,0.0000371619,0.00002447875,0.0009111468],"study_design_scores_gemma":[0.000005289115,0.0001433566,0.0009535296,0.000002645025,0.000005219057,0.00001220707,0.00003622446,0.0007749675,0.9977812,0.00001027657,0.0002689109,0.000006143783],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989102,0.0002576681,0.000269806,0.00002433498,0.000008027864,0.000006818132,0.00009638965,0.00001412315,0.0004126713],"genre_scores_gemma":[0.9984984,0.0002638355,0.0006814587,0.00001389355,0.000004315531,0.00001151175,0.00008214394,0.000009146439,0.0004352955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002198504,"threshold_uncertainty_score":0.004371464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02833594576045512,"score_gpt":0.2848736813583737,"score_spread":0.2565377355979186,"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."}}