{"id":"W4362634187","doi":"10.1016/j.susmat.2023.e00620","title":"Evaluation of characterisation efficiency of natural fibre-reinforced polylactic acid biocomposites for 3D printing applications","year":2023,"lang":"en","type":"article","venue":"Sustainable materials and technologies","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"King Saud University","keywords":"Polylactic acid; Biocomposite; Materials science; Differential scanning calorimetry; Thermogravimetric analysis; Dynamic mechanical analysis; Composite material; Ultimate tensile strength; Glass transition; Thermal stability; Composite number; Polymer; Chemical 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":[0.0003235339,0.0003942438,0.0002094461,0.000430328,0.0001406017,0.0004009196,0.0001794917,0.0005157767,0.0006908153],"category_scores_gemma":[0.0006514175,0.0002172029,0.0003864983,0.0003992456,0.0002342399,0.0003318236,0.0001924845,0.0002732091,0.0003355721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002209118,"about_ca_system_score_gemma":0.0001597175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006060312,"about_ca_topic_score_gemma":0.001189325,"domain_scores_codex":[0.9996101,0.00004382793,0.00004148508,0.00006201903,0.0001944201,0.00004808441],"domain_scores_gemma":[0.9995536,0.0001398136,0.00009846772,0.00003954802,0.0001426011,0.00002594661],"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":[0.00004851834,0.00001173439,0.0001768002,0.00003399666,0.000003676328,0.00002906824,0.00002667004,0.0002573642,0.9975144,0.00001252105,0.000007717073,0.001877524],"study_design_scores_gemma":[0.000001125303,0.00008453167,0.001091294,0.00000272323,0.000007493453,0.00002413777,0.00001309008,0.000569271,0.997914,0.00000507886,0.0002831085,0.000004219688],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994646,0.0006349117,0.003547754,0.00001463998,0.00001163824,0.00001890048,0.0001257389,0.00003779925,0.000962814],"genre_scores_gemma":[0.9928591,0.000666964,0.004436649,0.00001946826,0.000004031726,0.00003955886,0.0001571488,0.00002853139,0.001788555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006908153,"threshold_uncertainty_score":0.002310991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01197419478517223,"score_gpt":0.2437380642597116,"score_spread":0.2317638694745393,"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."}}