{"id":"W4403240540","doi":"10.1364/josaa.528703","title":"Label-free long-term measurements of adipocyte differentiation from patient-driven fibroblasts and quantitative analyses of in situ lipid droplet generation","year":2024,"lang":"en","type":"article","venue":"Journal of the Optical Society of America A","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"Ministry of Science and ICT, South Korea; National Research Foundation of Korea","keywords":"Adipogenesis; Adipocyte; In situ; Lipid droplet; Cell biology; Cellular differentiation; Computational biology; Biology; Biomedical engineering; Chemistry; Biochemistry; Mesenchymal stem cell; Adipose tissue; Medicine","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":[0.0004553259,0.0003201655,0.0002089773,0.0002844767,0.0001826531,0.0002389485,0.0002008346,0.0002720446,0.0006340962],"category_scores_gemma":[0.0003098338,0.000117705,0.0001579668,0.0002602212,0.0002382369,0.0002059825,0.0002553188,0.0005520228,0.0002058829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002698638,"about_ca_system_score_gemma":0.0001883456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008197133,"about_ca_topic_score_gemma":0.001262835,"domain_scores_codex":[0.999795,0.00003808781,0.00001752486,0.00004747379,0.00007628426,0.00002562421],"domain_scores_gemma":[0.9997937,0.00005823507,0.000044878,0.00003953067,0.00004070258,0.00002279475],"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":[0.00003408634,0.00001098838,0.0003428024,0.00001033246,0.000002129249,0.00002004054,0.00002375078,0.00008442938,0.9980647,0.00004768095,0.00001382976,0.001345276],"study_design_scores_gemma":[0.000003331532,0.00008467092,0.003539253,0.000001714373,0.000006918668,0.00009987639,0.00002823028,0.001706511,0.9940282,0.00004694238,0.0004487059,0.000005619775],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9301249,0.000975933,0.06649542,0.00006269254,0.00002371749,0.00007493631,0.0009465285,0.0002389554,0.001056923],"genre_scores_gemma":[0.960831,0.0008013971,0.03595057,0.00005888197,0.000006969387,0.0001788032,0.0007277873,0.00006236613,0.001382267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008197133,"threshold_uncertainty_score":0.002407968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03440569603148574,"score_gpt":0.3293528220937529,"score_spread":0.2949471260622671,"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."}}