{"id":"W4410780221","doi":"10.1002/btm2.70020","title":"Oral tissue spheroid, organoid, and organ‐on chip microphysiological modeling strategies towards enhanced emulation of health and disease","year":2025,"lang":"en","type":"article","venue":"Bioengineering & Translational Medicine","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; Osteology Foundation","keywords":"Emulation; Organoid; Spheroid; Organ-on-a-chip; Computer science; Biology; Nanotechnology; Cell biology; Materials science; Psychology","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":[0.0009883845,0.000447637,0.0004664529,0.0005885693,0.0003639546,0.00155101,0.0006331559,0.0007833365,0.00136752],"category_scores_gemma":[0.0006689895,0.0003211952,0.0005705707,0.0003727807,0.0006480187,0.0006852941,0.001067166,0.001067911,0.000618564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006322683,"about_ca_system_score_gemma":0.0007691543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001441633,"about_ca_topic_score_gemma":0.002260055,"domain_scores_codex":[0.9995981,0.00009236027,0.00002874025,0.00006555698,0.0001741767,0.00004113695],"domain_scores_gemma":[0.9995059,0.0001809916,0.00008737436,0.00008470981,0.00007368473,0.00006742869],"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":[0.0001449486,0.0001290661,0.001843068,0.001289203,0.00006928826,0.0005165227,0.0005361972,0.02706803,0.8909578,0.02130855,0.004597897,0.05153943],"study_design_scores_gemma":[0.00004013431,0.0006930904,0.004669163,0.0003051838,0.0001628342,0.001671763,0.0005613264,0.09692822,0.6884456,0.005983794,0.200387,0.0001519365],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2016285,0.02572644,0.7412058,0.002039749,0.0007736167,0.0005010102,0.002411048,0.002183116,0.02353075],"genre_scores_gemma":[0.7151499,0.0254777,0.2489126,0.0008352206,0.0001482608,0.000879487,0.00182667,0.0002960287,0.006474074],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00155101,"threshold_uncertainty_score":0.005227089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02588151303539732,"score_gpt":0.309011940018174,"score_spread":0.2831304269827767,"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."}}