{"id":"W4415272210","doi":"10.1007/s10965-025-04588-6","title":"Characterization and development of high-performance copper-reinforced polylactic acid (PLA) composite using plasticizer for 3D printing applications","year":2025,"lang":"en","type":"article","venue":"Journal of Polymer Research","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"British Columbia Institute of Technology","funders":"","keywords":"Polylactic acid; Ductility (Earth science); Differential scanning calorimetry; Copper; Composite number; Ultimate tensile strength; Plasticizer; Scanning electron microscope","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":[0.0004179009,0.00008460492,0.0001790581,0.0004687202,0.0001847065,0.00003488948,0.0001578938,0.00006193397,0.000004137982],"category_scores_gemma":[0.00006726179,0.00007728893,0.00002004015,0.0001972892,0.00008058426,0.0001237882,0.00009484702,0.0002718642,9.020817e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007212246,"about_ca_system_score_gemma":0.00008384504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002594674,"about_ca_topic_score_gemma":3.382138e-7,"domain_scores_codex":[0.9991296,0.00001665504,0.0003727404,0.00007943378,0.0001918692,0.0002097238],"domain_scores_gemma":[0.9993896,0.0001741196,0.0001172516,0.00009789236,0.0001896543,0.00003143973],"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":[0.00005159653,0.00001239009,0.0005946672,0.0004157698,0.00009352971,4.311791e-7,0.0001757539,0.0007235669,0.8585219,0.0002840937,0.000009553957,0.1391167],"study_design_scores_gemma":[0.0002920368,0.00003140269,0.008036631,0.0002388478,0.00001173953,0.00000655613,0.00008132827,0.009200121,0.9814153,0.00001255673,0.0006072094,0.00006622859],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7517685,0.0001181777,0.2478098,0.00004286541,0.00005432586,0.0001357259,0.00000365668,0.00002759327,0.00003936271],"genre_scores_gemma":[0.9807501,0.00003340657,0.01906499,0.000003742288,0.00003656476,0.00001646916,0.000003404628,0.00001211285,0.00007917717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2289817,"threshold_uncertainty_score":0.3151751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03927400857353272,"score_gpt":0.3115083347479877,"score_spread":0.272234326174455,"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."}}