{"id":"W4387692640","doi":"10.2174/011574888x257744231009071810","title":"Insight to Biofabrication of Liver Microtissues for Disease Modeling: Challenges and Opportunities","year":2023,"lang":"en","type":"review","venue":"Current Stem Cell Research & Therapy","topic":"Liver physiology and pathology","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Organoid; Biofabrication; Liver transplantation; 3D bioprinting; Economic shortage; Hepatic stellate cell; Liver disease; Fatty liver; Medicine; Personalized medicine; Disease; Bioinformatics; Transplantation; Computational biology; Cancer research; Biology; Neuroscience; Pathology; Tissue engineering; Internal medicine; Biomedical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008056647,0.0007666211,0.000779901,0.002028961,0.0002330056,0.0012215,0.0007382009,0.001448059,0.003548828],"category_scores_gemma":[0.0007328772,0.0002884623,0.0006000323,0.001817616,0.0006252775,0.001723067,0.0006256087,0.001928012,0.002077883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005006295,"about_ca_system_score_gemma":0.0006792943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007293059,"about_ca_topic_score_gemma":0.0008328144,"domain_scores_codex":[0.9998204,0.00002943637,0.00001849654,0.00003327197,0.00007891756,0.00001951431],"domain_scores_gemma":[0.9996201,0.0001724925,0.00003742248,0.00001674076,0.0001276939,0.00002548572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000659074,0.0001084366,0.0002228076,0.02219438,0.0000599854,0.0003919893,0.0001652809,0.0007052299,0.01821605,0.01310927,0.02291421,0.9218465],"study_design_scores_gemma":[0.00001151807,0.0001056662,0.0006390958,0.003445428,0.00006310838,0.001569359,0.0001011097,0.0003408511,0.005774135,0.003685314,0.9842358,0.00002860167],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002457698,0.9965358,0.000921436,0.0004543703,0.0003693392,0.000005898438,0.00001607178,0.00001336949,0.001437991],"genre_scores_gemma":[0.001839373,0.9955332,0.0007810188,0.000297175,0.000250328,0.00001086255,0.00003337303,0.000004567048,0.001249894],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003548828,"threshold_uncertainty_score":0.01187199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.756434269430494,"score_gpt":0.5116645187174635,"score_spread":0.2447697507130304,"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."}}