{"id":"W4211101841","doi":"10.1007/978-3-319-95990-0_12","title":"Cell Surface Engineering","year":2019,"lang":"en","type":"book-chapter","venue":"Polymers and polymeric composites","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Tissue engineering; Cell; Induced pluripotent stem cell; Stem cell; Surface engineering; Cell therapy; Cell type; Function (biology); Cell biology; Surface modification; Nanotechnology; Chemistry; Biology; Materials science; Embryonic stem cell; Biochemistry; Genetics","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":[0.000154863,0.0006990739,0.0004464994,0.0005282533,0.0004157255,0.001081741,0.0006309586,0.0006280817,0.01472823],"category_scores_gemma":[0.0001064608,0.0003328879,0.0003865199,0.0006108391,0.0002536091,0.0007283641,0.0007152614,0.001192425,0.01521607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004599092,"about_ca_system_score_gemma":0.0002514144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000550966,"about_ca_topic_score_gemma":0.001360878,"domain_scores_codex":[0.9997948,0.000008913486,0.000007284868,0.00004012145,0.0001229686,0.00002597209],"domain_scores_gemma":[0.9999716,0.000005192389,0.000002135922,0.000006073697,0.00001094394,0.000003987773],"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":[0.00004366619,0.00008846,0.0001042337,0.0006224262,0.00001881573,0.0002047158,0.0001703377,0.000874664,0.6038205,0.03130697,0.04642157,0.3163237],"study_design_scores_gemma":[0.000005697957,0.00003959638,0.000206595,0.00005184406,0.00001135974,0.0003819176,0.000029313,0.001351245,0.2989199,0.003957302,0.6950318,0.00001343075],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03446347,0.05760469,0.1697458,0.00156626,0.003297953,0.0002666014,0.003419978,0.002748453,0.7268869],"genre_scores_gemma":[0.09013895,0.03499364,0.04892666,0.001012132,0.0002983583,0.0003583585,0.004069813,0.0005370777,0.8196651],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01472823,"threshold_uncertainty_score":0.04927081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006686621936078219,"score_gpt":0.1937033089673784,"score_spread":0.1870166870313002,"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."}}