{"id":"W2208364908","doi":"10.1126/sciadv.1500423","title":"Platform technology for scalable assembly of instantaneously functional mosaic tissues","year":2015,"lang":"en","type":"article","venue":"Science Advances","topic":"Tissue Engineering and Regenerative Medicine","field":"Medicine","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Scaffold; Tissue engineering; Materials science; Matrix (chemical analysis); Computer science; Biomedical engineering; Template; Nanotechnology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000302905,0.00008252882,0.000202211,0.0002523158,0.00007637744,0.000005242827,0.000106391,0.00003821873,0.000009093028],"category_scores_gemma":[0.000435595,0.0000574159,0.00002021737,0.0007472779,0.0006593567,0.0002110979,0.00002188481,0.00006956756,0.000006387142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006080681,"about_ca_system_score_gemma":0.0002683097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004230088,"about_ca_topic_score_gemma":0.000004713031,"domain_scores_codex":[0.9990725,0.000001839303,0.000152773,0.0002005067,0.0003544155,0.0002179532],"domain_scores_gemma":[0.9993293,0.00003008372,0.00005300742,0.0001461652,0.0003229352,0.0001184991],"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":[0.0002672211,0.0001794694,0.005075755,0.0002234869,0.00003144919,0.00003416124,0.000539639,0.004557476,0.8358091,0.02821694,0.00247604,0.1225892],"study_design_scores_gemma":[0.001759368,0.002048925,0.0004456759,0.0002065605,0.00003410066,0.000335757,0.001883249,0.002060923,0.7900116,0.002399769,0.198645,0.0001690435],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.928625,0.02857528,0.03710034,0.00219653,0.001509608,0.0004542818,0.00001315349,0.0001677046,0.001358066],"genre_scores_gemma":[0.9692184,0.00003808,0.02510826,0.00002591147,0.0001691678,0.0000231653,0.000007759432,0.000008292139,0.005400959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.196169,"threshold_uncertainty_score":0.2429427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03401051323920654,"score_gpt":0.3129377373014064,"score_spread":0.2789272240621998,"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."}}