{"id":"W4382197409","doi":"10.1016/j.bioactmat.2023.06.006","title":"Biomaterials / bioinks and extrusion bioprinting","year":2023,"lang":"en","type":"review","venue":"Bioactive Materials","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":208,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Canada Foundation for Innovation; Natural Sciences and Engineering Research Council of Canada; Saskatchewan Health Research Foundation; University of Saskatchewan","keywords":"Biomaterial; 3D bioprinting; Tissue engineering; Extrusion; Materials science; Nanotechnology; Process (computing); Biomedical engineering; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001344868,0.0006362703,0.001918266,0.0006539674,0.0001107454,0.0003881323,0.0004455722,0.0007620075,0.0004651966],"category_scores_gemma":[0.0004124219,0.000512169,0.0001560862,0.0005445492,0.0002330599,0.00009339317,0.0007056409,0.0001728383,0.0016165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001698722,"about_ca_system_score_gemma":0.00006498466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004612481,"about_ca_topic_score_gemma":0.000001369588,"domain_scores_codex":[0.9970607,0.0002794923,0.0009760452,0.0006132529,0.0003732773,0.0006972398],"domain_scores_gemma":[0.9986147,0.0004454365,0.0002078423,0.0004746312,0.00004598401,0.0002114599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004437845,0.00001177055,7.006423e-7,0.04688488,0.0003434158,0.00004096069,0.00003187966,7.48454e-8,0.05230331,0.0001511608,0.000381365,0.899846],"study_design_scores_gemma":[0.0001445066,0.00003181245,0.00003339943,0.01600532,0.0002179188,0.00004252252,0.00001621885,0.000006184177,0.03331536,0.0001779824,0.9491674,0.0008414239],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003379395,0.9900703,0.00005333354,0.000009643165,0.002927304,0.001184153,0.0005761578,0.001428525,0.0003712302],"genre_scores_gemma":[0.0001373513,0.9978589,0.000555399,0.000003117832,0.0006442973,0.0002220766,0.0001498512,0.0002674921,0.0001614921],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.948786,"threshold_uncertainty_score":0.999733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1210656634953717,"score_gpt":0.3736003951626786,"score_spread":0.2525347316673069,"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."}}