{"id":"W4206055083","doi":"10.1002/jmri.28057","title":"Three‐Dimensional Bioprinted <scp>MR‐Trackable</scp> Regenerative Scaffold for <scp>Postimplantation</scp> Monitoring on <scp>T1‐Weighted MRI</scp>","year":2022,"lang":"en","type":"article","venue":"Journal of Magnetic Resonance Imaging","topic":"Reproductive Biology and Fertility","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ted Rogers Centre for Heart Research; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"In vivo; Scaffold; Viability assay; Biomedical engineering; Chemistry; In vitro; Regeneration (biology); Cell biology; Medicine; Biology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001657405,0.0002501176,0.0001373698,0.000217786,0.0001452386,0.0002366183,0.0001563189,0.0003344354,0.0008083327],"category_scores_gemma":[0.0001220536,0.0001394588,0.0001130342,0.0001210061,0.0003421931,0.0001999898,0.0001039594,0.0002638741,0.0002672801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002152891,"about_ca_system_score_gemma":0.0002205574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009035859,"about_ca_topic_score_gemma":0.00212052,"domain_scores_codex":[0.9999347,0.000005904474,0.000004021877,0.00001321553,0.00003019174,0.00001200859],"domain_scores_gemma":[0.9998222,0.0000355806,0.00007031461,0.00001672066,0.00003323771,0.00002191045],"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":[0.00001099572,0.000003762073,0.00006535347,0.00001263798,7.163081e-7,0.0000256141,0.000006575085,0.00004932649,0.999414,0.00001285055,0.00001064544,0.0003875941],"study_design_scores_gemma":[0.000002212985,0.000105465,0.001903789,0.000004461115,0.000006561499,0.0001646022,0.00001696643,0.0006095792,0.9965939,0.00001261828,0.0005763789,0.000003498618],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814776,0.000629545,0.01619264,0.00005980182,0.00001893351,0.00004783713,0.0002677685,0.0001785494,0.001127292],"genre_scores_gemma":[0.967275,0.0007320013,0.02927771,0.00005513468,0.000009066541,0.00007314503,0.0003027634,0.00004703011,0.00222807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009035859,"threshold_uncertainty_score":0.002704144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02057454323094768,"score_gpt":0.2787468030288471,"score_spread":0.2581722597978995,"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."}}