{"id":"W4402499875","doi":"10.1002/anie.202409288","title":"Ultra‐Narrow Alkane Product Distribution in Polyethylene Waste Hydrocracking by Zeolite Micro‐Mesopore Diffusion Optimization","year":2024,"lang":"en","type":"article","venue":"Angewandte Chemie International Edition","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Science Foundation of Shandong Province; National Natural Science Foundation of China; Jinan Science and Technology Bureau","keywords":"Zeolite; Catalysis; Alkane; Yield (engineering); Materials science; Product distribution; Chemical engineering; Microporous material; Low-density polyethylene; Polyethylene; Fluid catalytic cracking; Organic chemistry; Diffusion; Cracking; Chemistry; 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":[0.0001254531,0.0003145045,0.0001971224,0.0002241093,0.0001209262,0.0002872657,0.0001979564,0.0001636342,0.0007219916],"category_scores_gemma":[0.000141563,0.0001557778,0.000195231,0.0001683761,0.0001604592,0.0002981997,0.0002169543,0.0002929796,0.0002364244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004153698,"about_ca_system_score_gemma":0.0001646511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001104543,"about_ca_topic_score_gemma":0.002103477,"domain_scores_codex":[0.9999279,0.000005297235,0.000005904574,0.00001880762,0.0000201539,0.00002187112],"domain_scores_gemma":[0.9999354,0.00001130575,0.0000206453,0.000005803393,0.00001342514,0.00001337451],"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":[0.00006944312,0.00003198214,0.0001533508,0.00004365874,0.000006089444,0.00002352631,0.00001128747,0.0007152351,0.9967706,0.0001253953,0.0000428337,0.002006661],"study_design_scores_gemma":[0.00001053302,0.00007815388,0.000668755,0.000002271246,0.000006782662,0.00001524851,0.000007816838,0.004837401,0.993723,0.00001462846,0.0006291663,0.000006274875],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948775,0.0005092176,0.00321846,0.00004000332,0.00000866276,0.00001498466,0.00008292162,0.00009937698,0.001148825],"genre_scores_gemma":[0.9978735,0.0002478869,0.00122281,0.000007493978,0.000001993733,0.000008062354,0.00004259136,0.00001428203,0.0005811606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001104543,"threshold_uncertainty_score":0.00301373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004893072014285621,"score_gpt":0.210070765462038,"score_spread":0.2051776934477523,"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."}}