{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004197041,0.0002045623,0.0002422327,0.00009269804,0.00007504689,0.00004519521,0.0002788156,0.0001501769,0.00003143854],"category_scores_gemma":[0.0001410076,0.0001806596,0.00006552284,0.0001773355,0.00006775521,0.00006125232,0.00005405022,0.0001337703,0.00001786091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004211983,"about_ca_system_score_gemma":0.00002310618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001430086,"about_ca_topic_score_gemma":0.00005478244,"domain_scores_codex":[0.9985498,0.00004007003,0.0003356199,0.0002993828,0.0003828424,0.0003922671],"domain_scores_gemma":[0.9991858,0.0001676957,0.00006607795,0.0003591922,0.0001059702,0.000115249],"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":[0.00001547892,0.00004514198,0.0003579012,0.000322979,0.00007981909,0.000006212702,0.0001487662,0.007172323,0.9848524,0.0007041948,0.00007388974,0.006220907],"study_design_scores_gemma":[0.0004784591,0.0001377698,0.0001922815,0.00007218402,0.000015602,0.000002481046,0.00001547988,0.3660637,0.6325248,0.0001155664,0.0002253751,0.0001563814],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6624377,0.00006796815,0.3368833,0.00003249829,0.0001381944,0.0002220113,0.00001465327,0.0001232661,0.00008030492],"genre_scores_gemma":[0.9663929,0.00001831,0.03311718,0.00001960915,0.0002342818,0.00004603579,0.00007619128,0.00007166145,0.00002383203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3588913,"threshold_uncertainty_score":0.7367083,"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."}}