{"id":"W4401833983","doi":"10.1007/s40964-024-00757-z","title":"Driving sustainability and performance: 3D-printing of lightweight functional components using recycled carbon fiber reinforced polyphenylene sulfide composites for automotive industry","year":2024,"lang":"en","type":"article","venue":"Progress in Additive Manufacturing","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Materials science; Composite material; Ultimate tensile strength; Extrusion; Automotive industry; 3D printing; Carbon fibers; Crashworthiness; Sulfide; Composite number; Structural engineering; Metallurgy","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003609398,0.0004166671,0.0004714461,0.0005394815,0.0001609786,0.0001043719,0.0002022806,0.0003417979,0.00003684717],"category_scores_gemma":[0.0001252867,0.0004169042,0.0000966572,0.0002003577,0.0003147546,0.0003103243,0.0003230949,0.0008101662,8.415329e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004330048,"about_ca_system_score_gemma":0.00004214685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003395005,"about_ca_topic_score_gemma":0.000003107615,"domain_scores_codex":[0.9980059,0.00004965562,0.0005657084,0.0005310893,0.0002433457,0.0006043077],"domain_scores_gemma":[0.9988496,0.0005713647,0.0001240415,0.0002526414,0.0001282434,0.00007407914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003463293,0.0001268217,0.07480437,0.00778071,0.001051651,0.0001025903,0.002284917,0.03803793,0.003871217,0.001013388,0.0000935393,0.8704866],"study_design_scores_gemma":[0.0004096188,0.00006282183,0.1049594,0.001310596,0.00004824516,0.00001721449,0.0002155834,0.2184176,0.6731454,0.000656032,0.0003212039,0.000436415],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946267,0.0005784723,0.002697171,0.00005032406,0.0002911743,0.0005198654,0.00004854533,0.0008409864,0.0003467805],"genre_scores_gemma":[0.9944532,0.00003854743,0.005051661,0.00000522052,0.0001258463,0.0001352606,0.00004702712,0.00007463135,0.00006859301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8700501,"threshold_uncertainty_score":0.9998283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01493474854006689,"score_gpt":0.2444870980420676,"score_spread":0.2295523495020007,"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."}}