{"id":"W4376108845","doi":"10.1002/anie.202301927","title":"Polyethylene Incorporating Diels–Alder Comonomers: A “Trojan Horse” Strategy for Chemically Recyclable Polyolefins","year":2023,"lang":"en","type":"article","venue":"Angewandte Chemie International Edition","topic":"Synthetic Organic Chemistry Methods","field":"Chemistry","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Basic Energy Sciences; Division of Chemistry; Natural Sciences and Engineering Research Council of Canada; Cornell Center for Materials Research; U.S. Department of Energy; Division of Materials Research; Office of Science; National Science Foundation","keywords":"Trojan horse; Polyethylene; Diels–Alder reaction; Polymer science; Polymer chemistry; Organic chemistry; Chemistry; Catalysis; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001805534,0.0003836736,0.0001877274,0.00022247,0.0001033187,0.0001816959,0.0002304564,0.0002626502,0.0006794491],"category_scores_gemma":[0.0001465173,0.0001913647,0.0002060119,0.0001500088,0.0001686741,0.0004508854,0.0002235696,0.0005275337,0.0004337566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001473647,"about_ca_system_score_gemma":0.0001116488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007832808,"about_ca_topic_score_gemma":0.0002062069,"domain_scores_codex":[0.9998838,0.00002328956,0.000009646312,0.00002518274,0.00002989253,0.00002813553],"domain_scores_gemma":[0.9999216,0.00001285902,0.00002723136,0.0000157121,0.000009845574,0.00001276021],"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":[0.00002770555,0.00002256887,0.0000538249,0.00006937292,0.000006408703,0.00008718874,0.00002610021,0.0001822857,0.9943926,0.0007636438,0.00005569233,0.00431265],"study_design_scores_gemma":[0.000003677976,0.0001383318,0.000199563,0.000003183004,0.000006873801,0.0001356918,0.000004343952,0.0002927714,0.9942102,0.0000678849,0.004933617,0.00000381429],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9191393,0.005805203,0.06662989,0.0002942698,0.0001262449,0.0001714929,0.0001980684,0.0005110301,0.007124465],"genre_scores_gemma":[0.961465,0.003106864,0.0292768,0.0001200133,0.00002671289,0.00006306643,0.0001397048,0.00005399731,0.005747801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006794491,"threshold_uncertainty_score":0.002273023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04400707598172354,"score_gpt":0.3177400623259576,"score_spread":0.273732986344234,"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."}}