{"id":"W1946807683","doi":"10.1089/ten.tea.2013.0765","title":"Tissue Mimetics: Engineered Hydrogel Matrices Provide Biomimetic Environments for Cell Growth","year":2014,"lang":"en","type":"article","venue":"Tissue Engineering Part A","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Tissue engineering; Self-healing hydrogels; Polymer science; Nanotechnology; Chemistry; Engineering; Biomedical engineering; Materials science; Chemical engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005684793,0.000416334,0.0004104624,0.0003345181,0.00006860369,0.00007489903,0.0005400538,0.0002257194,0.0001241227],"category_scores_gemma":[0.000437406,0.0004506245,0.0000843988,0.0003670485,0.0000549306,0.0001145076,0.0001057166,0.0003182299,0.0006034721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001210406,"about_ca_system_score_gemma":0.00001312911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001011002,"about_ca_topic_score_gemma":3.995278e-7,"domain_scores_codex":[0.9976677,0.00002117708,0.0004695441,0.0004325137,0.0004732823,0.0009357416],"domain_scores_gemma":[0.9985338,0.0005060904,0.00004290487,0.0005053817,0.00002699173,0.0003848619],"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":[0.00002106371,0.0001852673,0.0001398593,0.003435641,0.0002086113,0.00002132567,0.0003622322,0.07682227,0.8770704,0.001021229,0.01135329,0.02935883],"study_design_scores_gemma":[0.0005144377,0.0001328535,0.00008353858,0.00006661673,0.00003387421,0.000004861678,0.000003582674,0.1479262,0.4643871,0.00007782459,0.3863602,0.0004089516],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.150282,0.003212072,0.8381341,0.0002105398,0.002132613,0.002030926,0.00007325125,0.002108451,0.001816083],"genre_scores_gemma":[0.9600192,0.0001566315,0.03660793,0.00001862254,0.0007025455,0.0003714984,0.00005860484,0.0002481275,0.001816828],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8097371,"threshold_uncertainty_score":0.9997945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009037364587263159,"score_gpt":0.229202983877513,"score_spread":0.2201656192902499,"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."}}