{"id":"W4409995114","doi":"10.32497/jrm.v20i1.6208","title":"Investigasi Pengaruh Penuaan Termal terhadap Sifat Mekanik Karpet Felt Polyethylene Terephthalate Laminasi dengan Low-Density Polyethylene untuk Aplikasi Pengembangan Produk Quarter Trim Panel","year":2025,"lang":"id","type":"article","venue":"Jurnal Rekayasa Mesin","topic":"Natural Fiber Reinforced Composites","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Polyethylene terephthalate; Quarter (Canadian coin); Materials science; Composite material; Polyethylene; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.003334192,0.002560438,0.002947416,0.001379261,0.001950622,0.002358061,0.003607318,0.001461164,0.0005900834],"category_scores_gemma":[0.001594376,0.002412234,0.001129604,0.002105326,0.001311917,0.002224478,0.001841263,0.00362689,0.001244193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001439914,"about_ca_system_score_gemma":0.001874287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000866198,"about_ca_topic_score_gemma":0.0002664424,"domain_scores_codex":[0.9847871,0.002380126,0.003365956,0.003342646,0.00256439,0.003559777],"domain_scores_gemma":[0.9910657,0.001412745,0.001745368,0.003319153,0.0009333977,0.001523653],"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":[0.001308309,0.0004997737,0.003415234,0.001147425,0.0003841132,0.001202252,0.00186569,0.00002387283,0.9791668,0.001229162,0.006092385,0.00366497],"study_design_scores_gemma":[0.003599014,0.00123156,0.05344345,0.002407057,0.0008195837,0.0009642229,0.0007283112,0.0002581575,0.9275666,0.000782369,0.00579652,0.002403131],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9744112,0.003459633,0.0001302265,0.00760639,0.00484665,0.002601534,0.0001506568,0.0006330067,0.006160671],"genre_scores_gemma":[0.962969,0.000333939,0.002195468,0.002202015,0.001379841,0.0001130546,0.0001713783,0.0002794429,0.03035584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05160018,"threshold_uncertainty_score":0.9998351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01727178239273846,"score_gpt":0.2563269255868303,"score_spread":0.2390551431940918,"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."}}