{"id":"W87973810","doi":"10.1023/a:1008995015347","title":"Nitrogen Adsorption Study of MCM-41 Molecular Sieves Synthesized Using Hydrothermal Restructuring","year":2000,"lang":"en","type":"article","venue":"Adsorption","topic":"Mesoporous Materials and Catalysis","field":"Materials Science","cited_by":54,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Desorption; Hysteresis; Mesoporous material; Materials science; Porosity; Pore water pressure; Adsorption; MCM-41; Chemical engineering; Nitrogen; Analytical Chemistry (journal); Chemistry; Composite material; Chromatography; Physical chemistry; Organic chemistry; Geology; Physics; Condensed matter physics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000466519,0.0001938241,0.0003450733,0.00009250122,0.00007778392,0.00006975865,0.0002202009,0.00008553428,0.007037435],"category_scores_gemma":[0.00002544185,0.0001806403,0.00008293647,0.0001626825,0.00005183484,0.0002679933,0.00004097004,0.0000537713,0.0001462504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004971539,"about_ca_system_score_gemma":0.00002432585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007316036,"about_ca_topic_score_gemma":0.0000202044,"domain_scores_codex":[0.9981579,0.0002887254,0.0005045343,0.0003820641,0.0003953149,0.0002714135],"domain_scores_gemma":[0.9991894,0.00002451779,0.0002330609,0.0004385451,0.00005121407,0.00006319809],"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":[0.0001646563,0.0001649726,0.0005433524,0.00002706041,0.00002264018,0.000006805752,0.0005030102,0.003314485,0.9940178,0.00003942663,0.000002351318,0.001193389],"study_design_scores_gemma":[0.0006357739,0.0001484622,0.00175157,0.0000375613,0.0001279891,0.00001902157,0.0002274666,0.000897387,0.9952039,0.0007252621,0.00001752952,0.0002080558],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989278,0.00008526798,0.0001511803,0.000008415022,0.0001225009,0.0004003622,0.00001368687,0.00008611651,0.0002046146],"genre_scores_gemma":[0.9990234,0.00001272321,0.0007290191,0.00001982518,0.00009285617,0.00002464754,0.00001116344,0.00003270916,0.00005360815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006891185,"threshold_uncertainty_score":0.9938703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01371225990075632,"score_gpt":0.243619710902598,"score_spread":0.2299074510018417,"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."}}