{"id":"W2991225336","doi":"10.3390/ma12233929","title":"Recycled Glass Fiber Composites from Wind Turbine Waste for 3D Printing Feedstock: Effects of Fiber Content and Interface on Mechanical Performance","year":2019,"lang":"en","type":"article","venue":"Materials","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Centre de Recherche sur les Systèmes Polymères et Composites à Haute Performance","keywords":"Materials science; Composite material; Ultimate tensile strength; Glass fiber; Composite number; Polylactic acid; Fiber; Extrusion; Epoxy; Flexural strength; Polymer","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002263787,0.0004290912,0.0002830939,0.0003023957,0.000189582,0.0004151226,0.0001826959,0.0003871663,0.0008023136],"category_scores_gemma":[0.0002207175,0.0002321424,0.0004255035,0.0002136165,0.0001386026,0.0003306107,0.0001534048,0.0003979823,0.0003032034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001697461,"about_ca_system_score_gemma":0.0001141054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006269672,"about_ca_topic_score_gemma":0.002450826,"domain_scores_codex":[0.999799,0.00001507376,0.00001827783,0.00004158427,0.00009045748,0.0000357452],"domain_scores_gemma":[0.999821,0.00003671196,0.00005570023,0.00002371148,0.00004427577,0.0000187204],"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":[0.00002351352,0.000008916551,0.0002359627,0.00002713686,0.000004231581,0.00005811583,0.00001527965,0.0001398225,0.9983919,0.000006697597,0.000005362893,0.001082887],"study_design_scores_gemma":[9.603858e-7,0.0001111714,0.002782029,0.00000369145,0.000008952862,0.00005734798,0.00001817581,0.0003277497,0.9964888,0.000003866809,0.0001933056,0.000003978803],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973319,0.0004450906,0.001603356,0.000009482048,0.000006851282,0.000006691354,0.00009071305,0.00005179539,0.0004541569],"genre_scores_gemma":[0.9955447,0.0003395438,0.003057922,0.0000128288,0.000002025931,0.00001048447,0.0001362252,0.00003270124,0.0008636196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008023136,"threshold_uncertainty_score":0.002683997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01186138488811999,"score_gpt":0.2058351133515558,"score_spread":0.1939737284634358,"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."}}