{"id":"W4407170543","doi":"10.1016/j.ijheatmasstransfer.2025.126776","title":"Numerical study on heat and mass transfer characteristics of hot water-induced hydrate dissociation","year":2025,"lang":"en","type":"article","venue":"International Journal of Heat and Mass Transfer","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Key Research and Development Program of China; National Outstanding Youth Science Fund Project of National Natural Science Foundation of China; Natural Science Foundation of Hunan Province; National Natural Science Foundation of China","keywords":"Materials science; Dissociation (chemistry); Mass transfer; Hydrate; Thermodynamics; Heat transfer; Mechanics; Physical chemistry; Chemistry; Physics","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":[0.0001783453,0.0002762543,0.0003910894,0.0003377259,0.0006343198,0.0004488477,0.0006002858,0.0008070932,0.003756003],"category_scores_gemma":[0.001061318,0.0001915348,0.0004235118,0.0004170762,0.0007140763,0.0005087689,0.0003821997,0.0004473291,0.0001333406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005058675,"about_ca_system_score_gemma":0.0004519607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006227823,"about_ca_topic_score_gemma":0.002471637,"domain_scores_codex":[0.9999282,0.00001433188,0.000003588527,0.00001287198,0.00001912842,0.00002194632],"domain_scores_gemma":[0.999487,0.0003613152,0.00003864184,0.00003068639,0.00005556248,0.00002685673],"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":[0.0003560383,0.0002050249,0.005643607,0.0002163899,0.0000388203,0.0004446321,0.000185488,0.9436795,0.03421319,0.007634845,0.0006129689,0.006769609],"study_design_scores_gemma":[0.00003093792,0.00004591231,0.001476676,0.00000464236,0.0000067569,0.00002127724,0.00005900033,0.9935256,0.004288343,0.0003481695,0.0001833756,0.000009296472],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9782005,0.0001787982,0.008227321,0.0002390265,0.00004951712,0.00004057016,0.0001789592,0.00009852577,0.01278685],"genre_scores_gemma":[0.9974374,0.00004411074,0.001036393,0.00001807187,0.000006704256,0.00001690108,0.00004530155,0.00001058066,0.001384589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006227823,"threshold_uncertainty_score":0.01256514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01050059472381664,"score_gpt":0.2482932865452301,"score_spread":0.2377926918214134,"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."}}