{"id":"W4409679469","doi":"10.1007/s40831-025-01081-8","title":"Kinetic Modeling and Assessment of a CO2 Nanobubble-Enhanced Hydrate-Based Sustainable Water Recovery from Industrial Effluents","year":2025,"lang":"en","type":"article","venue":"Journal of Sustainable Metallurgy","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Hydrate; Desalination; Effluent; Clathrate hydrate; Reverse osmosis; Chemistry; Aqueous solution; Kinetics; Chemical engineering; Membrane; Pulp and paper industry; Environmental science; Environmental engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001717118,0.0002820119,0.0007089958,0.0003414867,0.000201368,0.0001072845,0.000356331,0.0002245131,0.001131346],"category_scores_gemma":[0.0001453869,0.000197061,0.0001901098,0.0005289524,0.0001492821,0.000559582,0.0003786493,0.0005647129,0.00000531225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005449293,"about_ca_system_score_gemma":0.0002867321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001633253,"about_ca_topic_score_gemma":0.000005205152,"domain_scores_codex":[0.9970303,0.0002793018,0.001036033,0.0003336837,0.0005644918,0.0007561426],"domain_scores_gemma":[0.998705,0.0001470246,0.0004634981,0.0002852534,0.0002149174,0.0001843582],"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":[0.0007433565,0.0003996587,0.001117338,0.0001885473,0.0004839179,0.0002996579,0.0003351628,0.9471257,0.04677977,0.001038873,0.0002535182,0.001234445],"study_design_scores_gemma":[0.03293123,0.004518754,0.002854578,0.001046631,0.003044956,0.00004992867,0.02767204,0.5224673,0.2305189,0.1191476,0.05348127,0.00226682],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9685563,0.0004479718,0.02191031,0.0003422649,0.0002590986,0.0004063791,0.000001611839,0.000009889425,0.008066155],"genre_scores_gemma":[0.9900471,0.0001343969,0.001710126,0.0001236042,0.00005001213,0.00001184955,0.00000695684,0.00002281098,0.007893119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4246585,"threshold_uncertainty_score":0.9997817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01126726516682474,"score_gpt":0.2396264500338357,"score_spread":0.2283591848670109,"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."}}