{"id":"W2953663882","doi":"10.1002/app.48145","title":"Recycling of crosslinked high‐density polyethylene through compression molding","year":2019,"lang":"en","type":"article","venue":"Journal of Applied Polymer Science","topic":"Polymer crystallization and properties","field":"Materials Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Research Manitoba","funders":"","keywords":"Materials science; Consolidation (business); Compression molding; Composite material; Polyethylene; Molding (decorative); Compression (physics); Low-density polyethylene; High-density polyethylene; Mold","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":[],"consensus_categories":[],"category_scores_codex":[0.001195924,0.0001522873,0.0003975873,0.000182009,0.0002337807,0.00009787249,0.0008418186,0.0000676431,0.0005137071],"category_scores_gemma":[0.00002520654,0.0001120726,0.00007717279,0.0005402947,0.0005744814,0.0008040686,0.0002121081,0.0001764539,0.00004259282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004948189,"about_ca_system_score_gemma":0.000305728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009012771,"about_ca_topic_score_gemma":0.000001177689,"domain_scores_codex":[0.9976572,0.00004000103,0.0007141752,0.00026401,0.0009741635,0.0003504374],"domain_scores_gemma":[0.9983264,0.00008818552,0.0008787336,0.0003322913,0.0002404778,0.0001339008],"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":[0.0001803718,0.0000413157,0.0002870417,0.00002284846,0.000004410081,0.000001383134,0.00128836,0.0001580758,0.9939003,0.003027644,0.00002188061,0.001066358],"study_design_scores_gemma":[0.0005240513,0.00008851069,0.001086343,0.0001095217,0.00001219765,0.00002086306,0.0003347519,0.0001714624,0.9968604,0.0005272453,0.0001245033,0.0001401307],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944471,0.000926264,0.0006797845,0.0001349871,0.00117524,0.00009757862,0.000003180739,0.0000204003,0.002515496],"genre_scores_gemma":[0.996923,0.00004405542,0.002497549,0.0002812371,0.0001003499,7.663064e-7,3.522986e-7,0.00001191446,0.0001407251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002960108,"threshold_uncertainty_score":0.5624733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01388777991414505,"score_gpt":0.2522249886155959,"score_spread":0.2383372087014508,"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."}}