{"id":"W4386913895","doi":"10.1016/j.isci.2023.107981","title":"Electron microscopy approach to the wetting dynamics of single organosilanized mesopores","year":2023,"lang":"en","type":"article","venue":"iScience","topic":"Mesoporous Materials and Catalysis","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Eusko Jaurlaritza; Comisión de Investigaciones Científicas; Universidad Autónoma de Madrid; York University; Agencia Estatal de Investigación; Ministerio de Ciencia, Innovación y Universidades","keywords":"Wetting; Mesoporous material; Gravimetric analysis; Scanning electron microscope; Nanoscopic scale; Chemical engineering; Materials science; Environmental scanning electron microscope; Adsorption; Capillary condensation; Nanotechnology; Chemistry; Composite material; 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":[0.00007990805,0.0001566884,0.0001125167,0.0002437443,0.000195182,0.0001328557,0.0002133108,0.0001936582,0.00120639],"category_scores_gemma":[0.0001242664,0.00009988229,0.00009444883,0.000133359,0.0001498684,0.0002377255,0.0000940611,0.0003587146,0.0001243549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001778397,"about_ca_system_score_gemma":0.00007789933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005996384,"about_ca_topic_score_gemma":0.001021081,"domain_scores_codex":[0.9999684,0.000002237697,0.000001785751,0.000008817584,0.00001058908,0.000008169784],"domain_scores_gemma":[0.9998831,0.00005464404,0.00001461841,0.00001461297,0.00002354592,0.000009464295],"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":[0.00001788717,0.00001074963,0.0002800542,0.00002785446,0.000003385264,0.00006371214,0.00002661582,0.0002964621,0.9974211,0.0002810562,0.0000415039,0.001529771],"study_design_scores_gemma":[0.000004762293,0.0001047819,0.008219862,0.000007264912,0.000007187344,0.0002108148,0.00005477219,0.01454936,0.9752456,0.000182687,0.001406436,0.000006494611],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9656954,0.0007657284,0.03061613,0.0000645961,0.00003192358,0.00002811154,0.000467948,0.000183823,0.00214632],"genre_scores_gemma":[0.9840857,0.0005513909,0.01383666,0.00001996022,0.00001239568,0.00002646585,0.0001898452,0.00001834822,0.001259191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00120639,"threshold_uncertainty_score":0.00403583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01360872470128068,"score_gpt":0.2583778065315843,"score_spread":0.2447690818303036,"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."}}