{"id":"W2739291737","doi":"10.1089/ten.tec.2017.0222","title":"Bioprinting Pattern-Dependent Electrical/Mechanical Behavior of Cardiac Alginate Implants: Characterization and <i>Ex Vivo</i> Phase-Contrast Microtomography Assessment","year":2017,"lang":"en","type":"article","venue":"Tissue Engineering Part C Methods","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Canadian Institutes of Health Research","keywords":"Biomedical engineering; Materials science; Porosity; Ex vivo; X-ray microtomography; Elastic modulus; Implant; Modulus; Composite material; In vivo; Medicine; Surgery; Radiology","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":[0.0003532142,0.0003372597,0.0001384874,0.0002211293,0.00008599672,0.0003407399,0.0001333454,0.0002706022,0.0003507009],"category_scores_gemma":[0.0005359522,0.0002244891,0.0001890345,0.0001525062,0.000293686,0.0002372825,0.0001307454,0.0002548815,0.000118185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000186735,"about_ca_system_score_gemma":0.0001290099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003216824,"about_ca_topic_score_gemma":0.0006626191,"domain_scores_codex":[0.9998448,0.00002166652,0.00001918614,0.00003222114,0.00006169164,0.00002039538],"domain_scores_gemma":[0.9994327,0.0001982819,0.0002170717,0.0000657078,0.00006045867,0.00002577081],"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":[0.00001194284,0.000006072476,0.000225357,0.00001505771,0.000001540841,0.00001244206,0.0000164491,0.0001138679,0.9986394,0.00001076763,0.000003334666,0.0009438245],"study_design_scores_gemma":[0.000002034342,0.00007019428,0.005420886,0.00000237346,0.000007320903,0.00007961682,0.00001367258,0.001512412,0.9927128,0.00001614247,0.0001571051,0.000005431133],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9784781,0.0005182613,0.0201613,0.0000319127,0.00001130094,0.00002926062,0.0001357799,0.0000807073,0.0005534486],"genre_scores_gemma":[0.9792202,0.0005149991,0.01929601,0.00002956854,0.000006747924,0.00004800162,0.0001184851,0.00003111959,0.0007347989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0003532142,"threshold_uncertainty_score":0.00186801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02168136958752288,"score_gpt":0.3704388060954611,"score_spread":0.3487574365079382,"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."}}