{"id":"W4409252336","doi":"10.1016/j.cej.2025.162030","title":"Binary microdroplets as liquid hydrogen carriers for enhanced hydrogen production","year":2025,"lang":"en","type":"article","venue":"Chemical Engineering Journal","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Alberta Innovates; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Ministry of Education; Canada Foundation for Innovation","keywords":"Hydrogen production; Hydrogen; Binary number; Liquid hydrogen; Production (economics); Chemistry; Materials science; Chemical engineering; Organic chemistry; Engineering; Economics; Mathematics","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":[0.0001621664,0.0002671976,0.0002119856,0.0002164215,0.0001104599,0.0003555535,0.0003347579,0.0004694135,0.001011709],"category_scores_gemma":[0.0002005084,0.0001969687,0.0002174302,0.0001101399,0.0002063489,0.0004676052,0.0003466468,0.0005232134,0.0004012038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003714203,"about_ca_system_score_gemma":0.0001054008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002574651,"about_ca_topic_score_gemma":0.0005534769,"domain_scores_codex":[0.9998587,0.00001866367,0.000007713309,0.00003042709,0.00005773447,0.00002671124],"domain_scores_gemma":[0.9998993,0.00003566583,0.00002716648,0.0000075832,0.00001489148,0.00001538454],"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":[0.00001533639,0.00001207815,0.00004453324,0.00003181057,0.000002981268,0.00003310259,0.00001214445,0.0001467381,0.9977434,0.0002555662,0.00004570668,0.001656599],"study_design_scores_gemma":[0.000004240077,0.00005623045,0.0001455638,0.000001625489,0.000004374922,0.00002677091,0.00000475917,0.001922645,0.996714,0.00003313097,0.001083467,0.000003167405],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9678345,0.003018826,0.02469112,0.000251326,0.0001282944,0.0001120543,0.0002778693,0.0003689578,0.003317048],"genre_scores_gemma":[0.981057,0.000912706,0.01572266,0.00009232696,0.00002805162,0.00004310819,0.0001560981,0.00004730437,0.001940701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001011709,"threshold_uncertainty_score":0.003384471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005004789121114601,"score_gpt":0.2147438143601625,"score_spread":0.2097390252390479,"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."}}