{"id":"W4404545388","doi":"10.6000/1929-5995.2024.13.24","title":"Obtaining Properties of Polymeric Filaments for 3D Printing from Dinizia Excelsa Ducke Fiber and Copper Nanoparticles","year":2024,"lang":"en","type":"article","venue":"Journal of Research Updates in Polymer Science","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Materials science; Ultimate tensile strength; Composite material; Nanocomposite; Extrusion; Nanoparticle; Fiber; Nanotechnology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001669632,0.0001043984,0.0001949748,0.0006647518,0.0001187471,0.0001865282,0.0004691449,0.00004482037,0.00001968173],"category_scores_gemma":[0.0005707368,0.00007796019,0.00003573248,0.0006406925,0.0008790469,0.0004774584,0.0002868322,0.000394078,0.000002918722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006754395,"about_ca_system_score_gemma":0.0001204949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003331804,"about_ca_topic_score_gemma":0.000001617053,"domain_scores_codex":[0.998475,0.00003731803,0.0003606229,0.0001960882,0.0004972814,0.0004336605],"domain_scores_gemma":[0.9992389,0.0003570529,0.00005638932,0.0001532032,0.000126802,0.00006764226],"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":[0.00003451624,0.00002743329,0.002717718,0.0002481948,0.00005239611,0.00002339067,0.001684061,0.0001004708,0.7516642,0.0002613699,0.0002691625,0.2429171],"study_design_scores_gemma":[0.0001300857,0.00008529601,0.001654684,0.0008418856,0.000005400064,0.00001246405,0.0007474752,0.007449088,0.9879313,0.0005270267,0.0005257882,0.00008953404],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982072,0.01702938,0.0001264791,0.0002884066,0.0001902155,0.00008404566,0.000007481456,0.00006152576,0.0001404793],"genre_scores_gemma":[0.9959956,0.00024429,0.003605698,0.000004726029,0.00005471268,0.000008439792,2.612602e-7,0.00001513843,0.00007110382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2428275,"threshold_uncertainty_score":0.3238885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05158937439920737,"score_gpt":0.3253669129041935,"score_spread":0.2737775385049861,"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."}}