{"id":"W4408810001","doi":"10.26443/msurj.v1i2.313","title":"Optimising Zeolite Synthesis for Efficient Carbon Capture and Conversion to Renewable Natural Gas","year":2025,"lang":"en","type":"article","venue":"McGill Science Undergraduate Research Journal","topic":"Zeolite Catalysis and Synthesis","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Zeolite; Renewable energy; Natural gas; Substitute natural gas; Environmental science; Waste management; Materials science; Process engineering; Chemistry; Syngas; Engineering; Organic chemistry; Catalysis","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.005211519,0.0002143035,0.0003231199,0.001076031,0.002855991,0.0006633646,0.0008628124,0.00009985819,0.00002588061],"category_scores_gemma":[0.003987901,0.0001710691,0.0001381298,0.001846184,0.0006667356,0.0002119862,0.0004499986,0.0005807139,0.000003705805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009381233,"about_ca_system_score_gemma":0.0004049226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003898791,"about_ca_topic_score_gemma":0.00002910991,"domain_scores_codex":[0.9959909,0.0001084979,0.0003832685,0.0007012521,0.001559342,0.001256696],"domain_scores_gemma":[0.996707,0.001027318,0.0001001262,0.0004287057,0.001110786,0.0006260451],"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":[0.0003153356,0.0001475948,0.0003539961,0.0003101374,0.0001032128,0.00005114177,0.0002607706,0.004550745,0.961338,0.00459221,0.00208936,0.02588746],"study_design_scores_gemma":[0.0006069821,0.00004763863,0.00006226887,0.0008260838,0.00006688035,0.0001225521,0.001939386,0.07849471,0.8900173,0.005331607,0.02208949,0.000395169],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9211041,0.001262183,0.0007625995,0.03289875,0.0004369951,0.0004059382,0.00005368019,0.00006765792,0.04300808],"genre_scores_gemma":[0.9942786,0.0002817815,0.001553539,0.000109878,0.00007421287,0.00002407101,0.000001595312,0.00001713763,0.003659187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07394396,"threshold_uncertainty_score":0.9984422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02994341847840349,"score_gpt":0.3283813961683392,"score_spread":0.2984379776899357,"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."}}