{"id":"W4400930893","doi":"10.1002/smsc.202400079","title":"Cardiac Tissue Engineering: A Journey from Scaffold Fabrication to In Vitro Characterization","year":2024,"lang":"en","type":"article","venue":"Small Science","topic":"Tissue Engineering and Regenerative Medicine","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Saskatchewan Health Research Foundation; Heart and Stroke Foundation of Canada","keywords":"Scaffold; Characterization (materials science); Tissue engineering; Fabrication; In vitro; Biomedical engineering; Engineering; Materials science; Nanotechnology; Computer science; Chemistry; Medicine; Pathology; Biochemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.0003086014,0.0001001277,0.000163386,0.0003730198,0.00003105454,0.00005321571,0.00009932661,0.00003471354,0.0000236347],"category_scores_gemma":[0.0002051487,0.00008119096,0.00002125851,0.001256669,0.00004139275,0.00009983774,0.00002809894,0.0001200849,0.00008494056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000153626,"about_ca_system_score_gemma":0.00009918501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007141201,"about_ca_topic_score_gemma":0.00000161411,"domain_scores_codex":[0.9990644,0.000008386621,0.0001472372,0.0003102049,0.0002493288,0.0002203922],"domain_scores_gemma":[0.9995693,0.00002502201,0.00001211998,0.0001728272,0.0000603015,0.000160451],"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":[0.000005898688,0.00001080117,0.0002349874,0.00002366904,0.000004507836,0.00001968136,0.0006946907,0.0002391715,0.9838414,0.0002226935,0.00005360304,0.01464895],"study_design_scores_gemma":[0.000161612,0.00009562906,0.09681023,0.000397658,0.00002172043,0.00001016102,0.00003796953,0.02568172,0.8297228,0.000006052815,0.04690126,0.0001532531],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9501814,0.001475776,0.0440872,0.002168084,0.001583576,0.0002641533,0.00001173949,0.000138435,0.00008959511],"genre_scores_gemma":[0.9932877,0.00002812308,0.004155438,0.00004884993,0.0006690795,0.00002554061,0.00004063387,0.00001481526,0.00172986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1541186,"threshold_uncertainty_score":0.3310871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01664077021860619,"score_gpt":0.266776390438199,"score_spread":0.2501356202195927,"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."}}