{"id":"W4214616731","doi":"10.1177/09673911221078481","title":"A micromechanical approach to the mechanical characterization of 3D-printed composites","year":2022,"lang":"en","type":"article","venue":"Polymers and Polymer Composites","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Homogenization (climate); Materials science; Composite material; Micromechanics; Void (composites); 3d printed; Composite number; Finite element method; Fused deposition modeling; Material properties; 3D printing; Structural engineering; Biomedical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001544772,0.0003801477,0.0002561033,0.0004248712,0.0002195563,0.0003547729,0.0004367478,0.0004900392,0.00100249],"category_scores_gemma":[0.00036215,0.0002404023,0.0003718412,0.0001942854,0.0003867117,0.0003329158,0.0002601026,0.000394789,0.0002297118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003699255,"about_ca_system_score_gemma":0.0004222862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009789775,"about_ca_topic_score_gemma":0.001747546,"domain_scores_codex":[0.9998504,0.00002000002,0.000007236235,0.00002708816,0.00008503919,0.00001019393],"domain_scores_gemma":[0.9998159,0.00007811862,0.00002686598,0.00004817492,0.00002490478,0.000006142589],"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":[0.00001703775,0.00008984685,0.0008083957,0.0002025124,0.00002386872,0.0001430518,0.00007849394,0.3198209,0.6435454,0.0097294,0.0001403217,0.02540075],"study_design_scores_gemma":[0.000003827156,0.00009182276,0.001752284,0.000009776863,0.000008206066,0.0001726611,0.00002554185,0.889455,0.1034906,0.001914722,0.003051303,0.00002420782],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09548739,0.0003865672,0.898966,0.00008538219,0.00004508345,0.00008209427,0.0002245639,0.0003924559,0.004330613],"genre_scores_gemma":[0.712161,0.000677187,0.284546,0.00003862606,0.00002216708,0.0001716564,0.0001665688,0.00003003035,0.002186754],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00100249,"threshold_uncertainty_score":0.003353655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009839642705605984,"score_gpt":0.1945687733813555,"score_spread":0.1847291306757496,"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."}}