{"id":"W4408810020","doi":"10.3390/polym17070852","title":"Optimization Scheme for 3D Printing of PLA–PHBV–PCL Biodegradable Blends for Use in Orthopedic Casting","year":2025,"lang":"en","type":"article","venue":"Polymers","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Casting; Materials science; 3D printing; Composite material; Scheme (mathematics); Orthopedic surgery; Biomedical engineering; Engineering; Surgery; Mathematics; Medicine","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":[0.0003216502,0.0005771206,0.0004689124,0.0005349819,0.0001896581,0.0006284374,0.0003472102,0.0003524048,0.0009925815],"category_scores_gemma":[0.0003376136,0.0004033246,0.000647501,0.0006155836,0.0001729091,0.0002602472,0.0002362477,0.000522742,0.0005846976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003116549,"about_ca_system_score_gemma":0.0002815285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007932939,"about_ca_topic_score_gemma":0.00209427,"domain_scores_codex":[0.9996576,0.00002425912,0.0000415428,0.0000757192,0.0001638996,0.00003699731],"domain_scores_gemma":[0.9998398,0.00002840889,0.00005596506,0.00001990015,0.00003955089,0.00001628446],"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":[0.00004210897,0.00003756395,0.0001394038,0.00008321402,0.00000797138,0.00007585341,0.00002504557,0.001564936,0.9941425,0.0001412923,0.00004028932,0.003699885],"study_design_scores_gemma":[0.00001148962,0.0001417221,0.000893731,0.0000059955,0.00002129749,0.00007509992,0.00001535461,0.006652392,0.9907889,0.00003400341,0.00134405,0.0000160891],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9056758,0.00179228,0.08432013,0.00009659162,0.00008770578,0.0003894846,0.0007850106,0.0007964039,0.006056687],"genre_scores_gemma":[0.8842639,0.001623832,0.1099273,0.00003875593,0.00001125064,0.0003541397,0.0005745737,0.0001554568,0.003050678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009925815,"threshold_uncertainty_score":0.003320575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02189653225692252,"score_gpt":0.2441715935082975,"score_spread":0.222275061251375,"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."}}