{"id":"W2319598365","doi":"10.1021/bm500722g","title":"Hydrogel Thin Film with Swelling-Induced Wrinkling Patterns for High-Throughput Generation of Multicellular Spheroids","year":2014,"lang":"en","type":"article","venue":"Biomacromolecules","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Program for New Century Excellent Talents in University; National Natural Science Foundation of China","keywords":"Spheroid; Monolayer; Swelling; Nanotechnology; Dispersity; Materials science; Suspension (topology); Fabrication; Multicellular organism; Biophysics; Self-healing hydrogels; Cell; Chemical engineering; Chemistry; Composite material; Polymer chemistry; In vitro; Biology","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":[0.0001763463,0.0002929003,0.0002269724,0.0002515079,0.000122499,0.0002324092,0.0001841321,0.0002491201,0.0006233251],"category_scores_gemma":[0.0001807731,0.0001991163,0.0002587741,0.0001908577,0.0001110987,0.0003145822,0.0001741042,0.0003355527,0.0003520846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002055163,"about_ca_system_score_gemma":0.0001091046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003784744,"about_ca_topic_score_gemma":0.0008892963,"domain_scores_codex":[0.9998804,0.00001639226,0.00001383071,0.00002747917,0.00004688494,0.00001495702],"domain_scores_gemma":[0.999896,0.00003326173,0.00002817717,0.0000138618,0.00001368572,0.00001502768],"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":[0.000006128507,0.000007495453,0.00001907209,0.00002303007,0.000001777825,0.00002637843,0.00001053012,0.0001307803,0.9981081,0.000044402,0.0000482324,0.001573998],"study_design_scores_gemma":[0.000006449377,0.00004776059,0.0002767559,0.000002804576,0.000005244186,0.00007889235,0.000005241091,0.002389639,0.9956908,0.00002771892,0.001463815,0.00000505937],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7988822,0.0067482,0.1857413,0.0003924952,0.0002468618,0.0002770888,0.0009286538,0.001545159,0.005238018],"genre_scores_gemma":[0.9034316,0.00273682,0.09024225,0.000107624,0.0000393268,0.000147989,0.000345321,0.0001115768,0.002837556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006233251,"threshold_uncertainty_score":0.002085209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02616561479755126,"score_gpt":0.2523197154445878,"score_spread":0.2261541006470365,"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."}}