{"id":"W2788532975","doi":"10.1021/acsbiomaterials.7b01017","title":"Method for the Fabrication of Elastomeric Polyester Scaffolds for Tissue Engineering and Minimally Invasive Delivery","year":2018,"lang":"en","type":"article","venue":"ACS Biomaterials Science & Engineering","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Ontario Institute for Regenerative Medicine; University of Toronto; Canada Foundation for Innovation; Heart and Stroke Foundation of Canada","keywords":"Scaffold; Materials science; Elastomer; Tissue engineering; Polyester; Maleic anhydride; Polymer; Biomedical engineering; Fabrication; Nanotechnology; Monomer; Copolymer; Composite material","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":[0.0003880259,0.0005859874,0.0002422312,0.0008061012,0.000482132,0.0002406791,0.000393069,0.0004110922,0.008126576],"category_scores_gemma":[0.0002529455,0.0004037813,0.000374252,0.0003337071,0.0002247026,0.000248809,0.0002630925,0.000947281,0.004133524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001675505,"about_ca_system_score_gemma":0.0003112395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002161084,"about_ca_topic_score_gemma":0.0008881909,"domain_scores_codex":[0.9997693,0.00002055841,0.00002478237,0.00004613744,0.0001147048,0.00002465608],"domain_scores_gemma":[0.999868,0.00004236231,0.00002724492,0.00003126811,0.00001859307,0.00001246966],"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":[0.0000228539,0.00005522057,0.00009377706,0.0002300499,0.00001273747,0.0001812665,0.00004906995,0.0001912235,0.977347,0.001389398,0.0009901578,0.01943734],"study_design_scores_gemma":[0.00002523887,0.0001380265,0.0009468794,0.00003099127,0.00002226142,0.001355811,0.00001393137,0.001768236,0.931648,0.0003719621,0.06364783,0.000030852],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07358285,0.004502349,0.8889353,0.0005264218,0.000558753,0.001545494,0.001663889,0.002465461,0.02621941],"genre_scores_gemma":[0.2259856,0.00607232,0.7333574,0.0003949206,0.0001031626,0.002890972,0.001593389,0.0002652251,0.02933697],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008126576,"threshold_uncertainty_score":0.02718616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01596416876846223,"score_gpt":0.2943736674473266,"score_spread":0.2784094986788644,"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."}}