{"id":"W4411582063","doi":"10.1016/j.cej.2025.164839","title":"Surface-bound metal–organic framework microdomes and hybrids via a reacting microdroplet-driven approach: Enabling recyclable photocatalysis and real-time In-situ monitoring","year":2025,"lang":"en","type":"article","venue":"Chemical Engineering Journal","topic":"Metal-Organic Frameworks: Synthesis and Applications","field":"Chemistry","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Alberta Innovates; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; China Scholarship Council; Canada Foundation for Innovation","keywords":"Photocatalysis; In situ; Metal-organic framework; Metal; Surface (topology); Materials science; Chemical engineering; Nanotechnology; Chemistry; Catalysis; Organic chemistry; Engineering; Metallurgy; Adsorption","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004260113,0.0003545378,0.0006049864,0.000163919,0.0001810257,0.0002716383,0.0003028536,0.0003393419,0.00009606531],"category_scores_gemma":[0.0005331111,0.0003644471,0.0001207307,0.0005446802,0.00007163258,0.0001762753,0.0002000222,0.001278194,0.000005028929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002074142,"about_ca_system_score_gemma":0.00005148313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002110837,"about_ca_topic_score_gemma":2.116641e-7,"domain_scores_codex":[0.9981207,0.00001868047,0.0006250117,0.0005310358,0.0001952835,0.0005092502],"domain_scores_gemma":[0.9985795,0.0005668735,0.0001785012,0.0003974468,0.00005957163,0.0002180837],"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":[0.0000121335,0.00006317469,0.0006341663,0.0002118173,0.0001801801,0.000009115576,0.0001763939,0.0003160772,0.9967508,0.00002967402,0.0000208953,0.001595535],"study_design_scores_gemma":[0.0003359431,0.000003364699,0.0001066239,0.0007635062,0.0001635867,0.000221578,0.0001691498,0.006508013,0.9907753,0.0002162761,0.0003809389,0.0003557074],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9808389,0.002819413,0.01533305,0.0001240435,0.00007775916,0.00009685124,0.000003033547,0.0001015621,0.0006054197],"genre_scores_gemma":[0.9190862,0.00130271,0.07894612,0.00001068969,0.00028005,0.00001806181,0.000008479048,0.00006878689,0.0002789038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06361308,"threshold_uncertainty_score":0.9998807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00946788479769336,"score_gpt":0.2231372854266643,"score_spread":0.213669400628971,"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."}}