{"id":"W4404090680","doi":"10.1007/978-3-031-72471-8_7","title":"Bioprinting of Vascular Networks in Scaffolds","year":2024,"lang":"en","type":"book-chapter","venue":"","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science","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":[0.0001485828,0.0005028985,0.0003773783,0.000540695,0.0003229604,0.001196727,0.0004728801,0.0006782693,0.01078295],"category_scores_gemma":[0.0001602294,0.0003830474,0.0003325694,0.0006467779,0.0003728352,0.001052973,0.0005995419,0.0009608297,0.005571248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004900182,"about_ca_system_score_gemma":0.0001528566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002829705,"about_ca_topic_score_gemma":0.000765044,"domain_scores_codex":[0.9999095,0.000006970962,0.000002908613,0.00001624366,0.00005340453,0.00001100074],"domain_scores_gemma":[0.9999375,0.00003672177,0.000004794954,0.00000905075,0.00000842612,0.000003425329],"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":[0.0000487546,0.0001224779,0.00007118148,0.001632671,0.00002479922,0.0006642109,0.000491005,0.01016514,0.3913637,0.1665375,0.04314299,0.3857357],"study_design_scores_gemma":[0.000007056753,0.00006415551,0.0003695623,0.0002659654,0.00001717584,0.00116607,0.00007362077,0.008590903,0.2311254,0.03334048,0.7249502,0.00002945967],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.02223903,0.08341724,0.1661548,0.0007354211,0.002700394,0.0001231894,0.00043219,0.00138569,0.7228119],"genre_scores_gemma":[0.06167717,0.05206916,0.04966104,0.0005248152,0.0003899341,0.0001061549,0.0003588957,0.0004984266,0.8347144],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01078295,"threshold_uncertainty_score":0.03607261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0128607244506571,"score_gpt":0.2375552880429894,"score_spread":0.2246945635923323,"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."}}