{"id":"W4324364619","doi":"10.1016/j.polymdegradstab.2023.110342","title":"Simulated thermo-mechanical recycling of high-density polyethylene for the fabrication of hemp hurd plastic composites","year":2023,"lang":"en","type":"article","venue":"Polymer Degradation and Stability","topic":"Natural Fiber Reinforced Composites","field":"Materials Science","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"High-density polyethylene; Materials science; Absorption of water; Composite material; Ultimate tensile strength; Polyethylene; Rheology; Viscosity; Compression molding; Izod impact strength test; Molding (decorative)","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":[0.0002200358,0.0001938579,0.0001879752,0.0001863723,0.0001971286,0.0002106885,0.0001710883,0.0002311668,0.0008078769],"category_scores_gemma":[0.0002807308,0.0001360646,0.0001852037,0.0001712496,0.0002130293,0.0002364767,0.0001100949,0.0002268676,0.0001029059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002430217,"about_ca_system_score_gemma":0.0001981419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006114714,"about_ca_topic_score_gemma":0.001107169,"domain_scores_codex":[0.9998927,0.00001930355,0.000006154096,0.0000147894,0.00004259886,0.00002439849],"domain_scores_gemma":[0.9998928,0.00003906863,0.00002553319,0.00001622543,0.00001808252,0.00000818812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000200759,0.00002637834,0.0002625172,0.00006387221,0.00000564708,0.00004850211,0.00004665399,0.002661494,0.9946695,0.00008085216,0.00002490594,0.001908897],"study_design_scores_gemma":[0.000004245849,0.0001216595,0.001050394,0.000002789221,0.000005118434,0.00002047809,0.00001673437,0.003971138,0.9945799,0.00001176961,0.0002126717,0.000003149826],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981847,0.0001515253,0.001108018,0.000006740795,0.000004695411,0.000007433368,0.00003755224,0.00001855111,0.000480825],"genre_scores_gemma":[0.9989107,0.00006582741,0.0006537699,0.000003127416,9.666041e-7,0.000004971755,0.00002153111,0.000006899006,0.0003322425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008078769,"threshold_uncertainty_score":0.002702653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02848085700949306,"score_gpt":0.2677945334581028,"score_spread":0.2393136764486097,"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."}}