{"id":"W4390689933","doi":"","title":"Dielectric Performance of New Biobased Materials by 3D Printing","year":2023,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Dielectric; Materials science; Composite material; 3D printing; Process engineering; Engineering physics; Optoelectronics; 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":[0.0004450349,0.0004605313,0.0004162306,0.0003628508,0.0002193126,0.0008985274,0.0004234585,0.0007731587,0.002153234],"category_scores_gemma":[0.0006269732,0.0003233335,0.0004595731,0.0004297678,0.0004061956,0.0004307205,0.0004100316,0.0005730928,0.0008391005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003740949,"about_ca_system_score_gemma":0.0001619079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002646334,"about_ca_topic_score_gemma":0.0003328241,"domain_scores_codex":[0.9996387,0.00003406195,0.00002070366,0.00006186538,0.0001803784,0.00006420667],"domain_scores_gemma":[0.9995595,0.0001805394,0.00009035227,0.00006433754,0.00007692348,0.00002834505],"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":[0.0001613896,0.00001451335,0.0001007042,0.00007532416,0.000006654041,0.00005999722,0.00005400813,0.0007579854,0.9960749,0.00007246079,0.00008475759,0.002537262],"study_design_scores_gemma":[0.000003845376,0.00006183767,0.0003419923,0.000002594406,0.0000048949,0.00003881297,0.00001346802,0.0007067137,0.9984633,0.00002196935,0.0003349155,0.000005832328],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987272,0.002666973,0.005378393,0.0001357813,0.00008865034,0.00001410351,0.0003083279,0.0002060514,0.003929707],"genre_scores_gemma":[0.9926698,0.001303455,0.002954699,0.00005733811,0.00001865737,0.00001592984,0.0001684586,0.00006873805,0.002742914],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002153234,"threshold_uncertainty_score":0.007203341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01641715746819161,"score_gpt":0.2109938446882622,"score_spread":0.1945766872200705,"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."}}