{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001908772,0.0003229103,0.000286935,0.0002826518,0.0001684594,0.0001899962,0.0001982598,0.000347423,0.0006184231],"category_scores_gemma":[0.0001333462,0.000138129,0.0002492568,0.0001658953,0.000127762,0.0002492962,0.0001119409,0.0003123048,0.0003745462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000206685,"about_ca_system_score_gemma":0.0001876694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005212118,"about_ca_topic_score_gemma":0.001237947,"domain_scores_codex":[0.9998976,0.000006472254,0.000008853612,0.00002928335,0.00004339917,0.00001440735],"domain_scores_gemma":[0.9999135,0.00002202437,0.00001551578,0.000006956153,0.00002605744,0.00001600156],"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":[0.00000613928,0.000007280292,0.00003952355,0.00001914907,0.000002139737,0.00001254847,0.000003710064,0.00003401819,0.9993498,0.00001392695,0.000005913193,0.0005057642],"study_design_scores_gemma":[0.000004356099,0.0001064126,0.001876287,0.000004104354,0.00001096149,0.00008591552,0.000008899382,0.001221457,0.9956601,0.00002101332,0.0009942304,0.000006152428],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9470001,0.002479918,0.04708695,0.00009011705,0.00007735094,0.0001489661,0.0009277143,0.0003409,0.001848035],"genre_scores_gemma":[0.9343781,0.00153951,0.05897109,0.00008487122,0.00003437469,0.0001486281,0.001247935,0.00006478818,0.003530571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006184231,"threshold_uncertainty_score":0.002068877,"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."}}