{"id":"W3132994358","doi":"10.1088/1758-5090/abe7ab","title":"Printability in extrusion bioprinting","year":2021,"lang":"en","type":"letter","venue":"Biofabrication","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":180,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Office of Research, Drexel University","keywords":"Extrusion; 3D bioprinting; Materials science; Formability; Biomaterial; Nanotechnology; Tissue engineering; Composite material; Biomedical engineering; Engineering","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":[0.002040576,0.0004372667,0.0005572328,0.0005236384,0.0007283322,0.0020283,0.0005840136,0.004122647,0.002218056],"category_scores_gemma":[0.005069804,0.0003466792,0.0005132786,0.0005373391,0.001567725,0.002185901,0.0007528009,0.003546222,0.00176339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001564151,"about_ca_system_score_gemma":0.0003158278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003110016,"about_ca_topic_score_gemma":0.0006306941,"domain_scores_codex":[0.9968478,0.000586633,0.0002182683,0.000440903,0.001733423,0.0001729106],"domain_scores_gemma":[0.9946004,0.004173446,0.0004556213,0.000158407,0.0005644372,0.000047595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003872898,0.0001531986,0.001945852,0.005708111,0.00005278802,0.01728248,0.00179341,0.001494814,0.2999489,0.071725,0.1104488,0.4890594],"study_design_scores_gemma":[0.00002341415,0.0003669074,0.001777851,0.0006266664,0.00003250983,0.0224995,0.0003869175,0.001982182,0.1890254,0.01332212,0.7698444,0.0001121302],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.07278815,0.4950134,0.07352312,0.07739343,0.01784947,0.000279875,0.0003591532,0.0006406085,0.2621528],"genre_scores_gemma":[0.4980461,0.2787469,0.0438173,0.05874112,0.01240814,0.0005204958,0.0004611482,0.0003775357,0.1068812],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004122647,"threshold_uncertainty_score":0.01134872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02956819920487355,"score_gpt":0.2626375921214094,"score_spread":0.2330693929165359,"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."}}