{"id":"W2739182214","doi":"10.1021/acsbiomaterials.7b00356","title":"Interpenetrating Alginate-Collagen Polymer Network Microspheres for Modular Tissue Engineering","year":2017,"lang":"en","type":"article","venue":"ACS Biomaterials Science & Engineering","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Research Foundation","keywords":"Tissue engineering; Biomedical engineering; Materials science; Umbilical vein; Microsphere; Blood vessel; Self-healing hydrogels; Mesenchymal stem cell; Chemistry; In vitro; Cell biology; Chemical engineering; Biochemistry; Biology; Polymer chemistry; Medicine","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","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001613675,0.0003791529,0.0004272201,0.0001291327,0.001336477,0.001593793,0.002382754,0.0001570679,0.000103217],"category_scores_gemma":[0.000377029,0.0003665652,0.00006846825,0.0003782584,0.0005047367,0.0008992704,0.0005670822,0.00004417264,0.00008174885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001741307,"about_ca_system_score_gemma":0.0001297667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009039496,"about_ca_topic_score_gemma":0.000003876634,"domain_scores_codex":[0.9967531,0.00001384174,0.0005768946,0.0008368238,0.0004796895,0.001339681],"domain_scores_gemma":[0.9979935,0.0001196649,0.0003077869,0.00114045,0.0001526301,0.0002860236],"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":[0.000007610694,0.00001588734,0.00004061779,0.00003993288,0.000007978982,0.000003332812,0.00007245941,0.001063147,0.9935935,0.004628263,0.000171769,0.0003555233],"study_design_scores_gemma":[0.0002505445,0.00007532058,0.001010618,0.0001164293,0.00001859209,0.00001902384,0.000006697663,0.003285783,0.9918378,0.0001619529,0.002770828,0.0004464244],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9083574,0.0003580363,0.08741397,0.000261713,0.00247272,0.0006439521,0.00004671113,0.0003822781,0.00006321624],"genre_scores_gemma":[0.8897471,0.000009264164,0.10909,0.00005109349,0.0006602102,0.0002776586,0.00000972978,0.00006221033,0.00009277824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02167601,"threshold_uncertainty_score":0.9999636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008395118441530682,"score_gpt":0.2658507168057971,"score_spread":0.2574555983642665,"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."}}