{"id":"W4390617330","doi":"10.1038/s41574-023-00933-1","title":"Organoids in endocrine and metabolic research: current and emerging applications","year":2024,"lang":"en","type":"review","venue":"Nature Reviews Endocrinology","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Rehabilitation Institute; University of Toronto","funders":"National Medical Research Council; Vlaamse regering; KU Leuven; University of Toronto; Fonds Wetenschappelijk Onderzoek; Agency for Science, Technology and Research; Medical Research Council; Duke-NUS Medical School","keywords":"Organoid; Endocrine system; Computational biology; Neuroscience; Biology; Computer science; Bioinformatics; Data science; Endocrinology; Hormone","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":[0.001647272,0.00119061,0.001996634,0.002732006,0.000278457,0.002413265,0.001036112,0.001744954,0.005384774],"category_scores_gemma":[0.001408913,0.0004687517,0.0007412996,0.003268947,0.001021158,0.002165378,0.001235037,0.002774996,0.002680806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000682576,"about_ca_system_score_gemma":0.001099971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001106029,"about_ca_topic_score_gemma":0.002375972,"domain_scores_codex":[0.9996592,0.00005591249,0.00003673096,0.00005611912,0.0001552279,0.00003684694],"domain_scores_gemma":[0.99907,0.0005729015,0.00008114544,0.00002701029,0.0001821913,0.00006677491],"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":[0.00009072924,0.00007038077,0.000124623,0.01324852,0.00007072728,0.0001403699,0.00006251109,0.0005673078,0.003019485,0.007584418,0.02175321,0.9532678],"study_design_scores_gemma":[0.00002960644,0.000105545,0.0003764156,0.003121665,0.0001104029,0.0006217221,0.00007548073,0.0001592599,0.0009242512,0.003327409,0.9911165,0.0000316966],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007876443,0.9985182,0.0002433853,0.0001800831,0.0002137962,0.000002952955,0.00001695318,0.000008328267,0.0007375161],"genre_scores_gemma":[0.0004518287,0.998498,0.0002913904,0.0001560056,0.0001410329,0.000004546029,0.00002600959,0.000002147441,0.0004291206],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005384774,"threshold_uncertainty_score":0.01801383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1075364323888543,"score_gpt":0.4724760265709574,"score_spread":0.3649395941821031,"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."}}