{"id":"W4403350065","doi":"","title":"Multimaterial 3D printing of biocomposite materials","year":2024,"lang":"en","type":"article","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":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Biocomposite; 3D printing; Materials science; Nanotechnology; Computer science; Composite material; Composite number","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":[0.0004358863,0.0004579762,0.0003883781,0.0007115836,0.0002761497,0.001403475,0.0004210494,0.001010113,0.009352982],"category_scores_gemma":[0.0004263611,0.0003042662,0.0006135801,0.0004668034,0.000322725,0.0005066565,0.0005639634,0.000572256,0.003125744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005441717,"about_ca_system_score_gemma":0.0002482497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002210909,"about_ca_topic_score_gemma":0.0004560748,"domain_scores_codex":[0.9996076,0.00003258725,0.00002312182,0.00007114569,0.0002228959,0.00004259776],"domain_scores_gemma":[0.9998153,0.00005552695,0.00002914874,0.00004924997,0.0000307148,0.00002002115],"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":[0.00004347945,0.00002171665,0.00009106511,0.0001419568,0.000007398166,0.0001877271,0.00003708903,0.001207403,0.9782085,0.001689145,0.0006325438,0.01773206],"study_design_scores_gemma":[0.000006176419,0.00004684519,0.0006594231,0.00001213153,0.00001010381,0.0003891904,0.00001797664,0.002982601,0.977949,0.000434698,0.0174778,0.00001404253],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.629647,0.01926349,0.2291613,0.0009705793,0.002640966,0.0002022403,0.001306587,0.004315041,0.1124928],"genre_scores_gemma":[0.7654641,0.005989449,0.1542408,0.0004662074,0.0002418861,0.0001236933,0.0005925405,0.0007532322,0.07212801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009352982,"threshold_uncertainty_score":0.03128886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008643486909357973,"score_gpt":0.2064180249223673,"score_spread":0.1977745380130093,"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."}}