{"id":"W4247750141","doi":"10.17576/mjas-2018-2201-03","title":"SYNTHESIS AND CHARACTERIZATION OF MESOPOROUS POLYMER-SILICA HYBRID MONOLITH USING CONVENTIONAL SOL-GEL METHOD FOR ENZYME SUPPORT","year":2018,"lang":"en","type":"article","venue":"Malaysian Journal of Analytical Science","topic":"Mesoporous Materials and Catalysis","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"MacEwan University","funders":"","keywords":"Monolith; Mesoporous material; Characterization (materials science); Polymer; Materials science; Mesoporous silica; Chemical engineering; Sol-gel; Chromatography; Immobilized enzyme; Chemistry; Nanotechnology; Catalysis; Organic chemistry; Enzyme; Composite material","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":[0.003398572,0.0001565198,0.0005250511,0.00026279,0.0002380345,0.0001656127,0.0004751724,0.00004514989,0.0009157974],"category_scores_gemma":[0.0003531173,0.0001221154,0.0001453635,0.0003135412,0.00101606,0.0005779725,0.0001047759,0.00005606106,0.000007267098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005950332,"about_ca_system_score_gemma":0.0003553038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002127378,"about_ca_topic_score_gemma":8.534443e-7,"domain_scores_codex":[0.9976678,0.00009928537,0.0008509002,0.0003332302,0.00065791,0.0003908676],"domain_scores_gemma":[0.9979631,0.0001244633,0.0007890324,0.0002176914,0.0006138178,0.0002918945],"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":[0.0001149292,0.00006640894,0.0003525569,0.00003270071,0.00002102337,0.000007869361,0.00009309637,0.000006341769,0.9960529,0.001803756,0.00002201939,0.001426381],"study_design_scores_gemma":[0.0002304667,0.0003525369,0.002073584,0.00005091189,0.0001997098,0.0003469846,0.00006381216,0.01961909,0.9762807,0.0005362612,0.0001048007,0.0001411829],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9114947,0.00002053066,0.08759011,0.0003678542,0.0002498659,0.00009347154,0.00007187017,0.00000665005,0.0001049886],"genre_scores_gemma":[0.9843839,0.000006700482,0.01515871,0.00007959009,0.0002726902,0.000002362051,0.000002462102,0.00001130223,0.00008225712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07288926,"threshold_uncertainty_score":0.9999975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02067777531953613,"score_gpt":0.2955619678774415,"score_spread":0.2748841925579054,"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."}}