{"id":"W4405894251","doi":"10.1016/j.compositesa.2024.108701","title":"Enhanced tensile properties of continuous fiber-reinforced composites using robotic coaxial photopolymer extrusion","year":2024,"lang":"en","type":"article","venue":"Composites Part A Applied Science and Manufacturing","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Materials science; Composite material; Extrusion; Ultimate tensile strength; Fiber; Photopolymer; Coaxial; Polymer; Polymerization","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":[0.0002277371,0.0002989851,0.0003737614,0.0003458289,0.0003475741,0.0002472544,0.0003484458,0.00009242698,0.0000250543],"category_scores_gemma":[0.00001735595,0.0002517655,0.00005686766,0.0002353962,0.0007660557,0.0002714409,0.0003300833,0.0002532708,0.00001732885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007302053,"about_ca_system_score_gemma":0.00004026814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001863522,"about_ca_topic_score_gemma":9.391992e-7,"domain_scores_codex":[0.9984029,0.000008218229,0.0003087879,0.0004425435,0.0003540126,0.0004835262],"domain_scores_gemma":[0.9994347,0.00007708753,0.00005605402,0.0002932642,0.00005088256,0.00008801743],"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":[0.00001272714,0.000005795196,0.000003068373,0.000253064,0.00002668506,0.000004161188,0.0003259779,0.0187203,0.9699818,0.0002715483,0.00006458035,0.01033024],"study_design_scores_gemma":[0.0001321487,0.00002936492,0.00007035341,0.0003753319,0.00003281429,0.00001954283,0.0001704821,0.06239399,0.9356803,0.00007561946,0.0007149504,0.0003051613],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887633,0.0007501452,0.007114781,0.00002393741,0.0003238269,0.0003246964,0.000005876103,0.0009818848,0.001711525],"genre_scores_gemma":[0.9977511,0.00004180381,0.001938715,0.00001985117,0.00006617967,0.00002381967,0.000004495828,0.00003272909,0.0001212967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04367369,"threshold_uncertainty_score":0.9999934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01754119400729385,"score_gpt":0.2178815874341766,"score_spread":0.2003403934268828,"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."}}