{"id":"W3042491565","doi":"10.1039/d0mh00813c","title":"Triggered micropore-forming bioprinting of porous viscoelastic hydrogels","year":2020,"lang":"en","type":"article","venue":"Materials Horizons","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Institute on Deafness and Other Communication Disorders; Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Scaffold; 3D bioprinting; Regenerative medicine; Tissue engineering; Materials science; Self-healing hydrogels; Nanotechnology; Microporous material; Biomedical engineering; Porosity; Cell; Chemistry; Engineering; 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":[0.0001166976,0.0002146946,0.00009861328,0.0001020796,0.00007201379,0.0001548958,0.0001770378,0.0002972619,0.0009233275],"category_scores_gemma":[0.0001746342,0.00009087724,0.0002533974,0.00006154417,0.0001250159,0.0002543748,0.0001868982,0.0003226798,0.0001943285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002128378,"about_ca_system_score_gemma":0.000111853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003026859,"about_ca_topic_score_gemma":0.0005303887,"domain_scores_codex":[0.9999148,0.00000766323,0.000004517388,0.00002370746,0.00001954981,0.0000297918],"domain_scores_gemma":[0.9999073,0.0000300837,0.00003207078,0.00001087087,0.000006870579,0.00001274757],"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":[0.00002262743,0.00001400513,0.00002677915,0.00002669042,0.00000305746,0.00004083843,0.00001413662,0.0002433288,0.9982444,0.0001519747,0.0000532945,0.001158828],"study_design_scores_gemma":[0.000005716335,0.00007845937,0.0004512128,0.000003218804,0.000003896321,0.00006148611,0.000005062218,0.002727478,0.9957794,0.00003634617,0.0008429878,0.000004773513],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804261,0.0009805466,0.01364079,0.00009417592,0.00009067959,0.00007298877,0.000287782,0.0002218107,0.004185041],"genre_scores_gemma":[0.9905353,0.0003564238,0.006365563,0.00005347196,0.000009380215,0.00004045092,0.0001250785,0.00002556827,0.002488772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009233275,"threshold_uncertainty_score":0.003088892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01985785132944616,"score_gpt":0.245296304573553,"score_spread":0.2254384532441069,"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."}}