{"id":"W3167542308","doi":"10.1101/2020.11.06.371278","title":"Designer Scaffolds for Interfacial Bioengineering","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Scaffold; Modular design; Interface (matter); Regenerative medicine; Biocompatible material; Decellularization; Tissue engineering; Nanotechnology; Biomedical engineering; Materials science; Chemistry; Computer science; Cell; Engineering; Composite material","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":[0.0004514147,0.0005004535,0.0002412043,0.0004519415,0.000235217,0.0008527231,0.0003325342,0.000507341,0.002639405],"category_scores_gemma":[0.000345701,0.0002872684,0.0002744113,0.0003100037,0.000357482,0.000533436,0.0006127015,0.0005932132,0.001251928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003233122,"about_ca_system_score_gemma":0.0001422036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009902309,"about_ca_topic_score_gemma":0.0002572926,"domain_scores_codex":[0.9997074,0.00004547147,0.00002304676,0.00005212793,0.0001433896,0.00002859457],"domain_scores_gemma":[0.9997678,0.00007120366,0.0000500581,0.00005426433,0.00003782893,0.00001884526],"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":[0.00004761931,0.00004290999,0.0002923227,0.0002375961,0.00001676189,0.0001438497,0.00008397411,0.004152394,0.955942,0.01313719,0.0009063039,0.02499706],"study_design_scores_gemma":[0.00003002231,0.0001808825,0.0005678711,0.00005039234,0.0000215582,0.0003393476,0.00004633603,0.01522313,0.914099,0.003785505,0.0656308,0.00002500004],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3148685,0.01587074,0.6093546,0.0006326601,0.0008652636,0.0003508927,0.0008468392,0.002057004,0.0551536],"genre_scores_gemma":[0.7026366,0.005287158,0.2695096,0.0003660837,0.0001052668,0.0004274376,0.0005906314,0.0003556114,0.02072163],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002639405,"threshold_uncertainty_score":0.008829713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0265475206207616,"score_gpt":0.2468731825774679,"score_spread":0.2203256619567063,"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."}}