{"id":"W3033297469","doi":"10.1016/j.jcis.2020.05.103","title":"Exploring the confinement of polymer nanolayers into ordered mesoporous silica using advanced gas physisorption","year":2020,"lang":"en","type":"article","venue":"Journal of Colloid and Interface Science","topic":"Mesoporous Materials and Catalysis","field":"Materials Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Universität Wien; Université Laval","keywords":"Physisorption; Materials science; Polymer; Mesoporous silica; Mesoporous material; Polymerization; Chemical engineering; Thermogravimetric analysis; Polystyrene; Porosimetry; Adsorption; Porosity; Composite material; Organic chemistry; Porous medium; Catalysis; 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":[],"consensus_categories":[],"category_scores_codex":[0.001085798,0.0001288361,0.0003311789,0.00008263108,0.0002717815,0.0001414058,0.0005127823,0.00001676503,0.0001663955],"category_scores_gemma":[0.0001793553,0.00008209521,0.00006866493,0.0004589574,0.0004431603,0.0008371967,0.0001567851,0.00009437097,0.000003952248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004690299,"about_ca_system_score_gemma":0.0001917775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005177474,"about_ca_topic_score_gemma":0.000003375542,"domain_scores_codex":[0.9983238,0.00007543114,0.0005969746,0.0002141778,0.000575944,0.0002137036],"domain_scores_gemma":[0.9987052,0.00004341825,0.0006563772,0.0001611143,0.000294575,0.0001393298],"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":[0.0001716567,0.00002376108,0.00001708885,0.0000276143,0.00000904079,5.1943e-7,0.00333485,0.0005204385,0.9941368,0.00005594596,0.00002091607,0.001681331],"study_design_scores_gemma":[0.0003171922,0.0003505493,0.00008439752,0.00007367921,0.00003570139,0.00001995791,0.004153256,0.0006760841,0.9939724,0.00003431829,0.0001899378,0.00009251313],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970701,0.0007077249,0.0006327733,0.000911809,0.000494728,0.0001034193,0.000002993126,0.000007339811,0.00006907938],"genre_scores_gemma":[0.9988505,0.0001875966,0.0007272384,0.0001337909,0.00007735525,0.000002434856,1.075585e-7,0.000007067391,0.00001390912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001780367,"threshold_uncertainty_score":0.3347746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0475132109713152,"score_gpt":0.2708755094920127,"score_spread":0.2233622985206975,"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."}}