{"id":"W2558013825","doi":"10.1002/anie.201610353","title":"Supramolecular Nanofibrillar Thermoreversible Hydrogel for Growth and Release of Cancer Spheroids","year":2016,"lang":"en","type":"article","venue":"Angewandte Chemie International Edition","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Self-healing hydrogels; Spheroid; Materials science; Polymer; Cell encapsulation; Aqueous suspension; Nanotechnology; Cancer cell; Extracellular matrix; Chemical engineering; 3D cell culture; Supramolecular chemistry; Tissue engineering; Biophysics; Chemistry; Aqueous solution; Polymer chemistry; Cell; Cancer; Molecule; Biomedical engineering; Organic chemistry; In vitro; Biochemistry; Composite material","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":[0.0001323021,0.0002119836,0.0001246808,0.0001218125,0.00007194103,0.0001372283,0.0000972228,0.0001879022,0.0005441954],"category_scores_gemma":[0.0001145287,0.00008285699,0.0001669163,0.00006961651,0.00009681195,0.0001893107,0.0001111103,0.0002094617,0.0002135155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002083059,"about_ca_system_score_gemma":0.0001354712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002816861,"about_ca_topic_score_gemma":0.0005811251,"domain_scores_codex":[0.9999431,0.00000688198,0.000005636398,0.00001688637,0.00001521929,0.00001221851],"domain_scores_gemma":[0.9999214,0.00001540843,0.00003017844,0.000007079189,0.000008083701,0.00001783058],"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":[0.00001020545,0.000006027431,0.00002159945,0.00001279951,0.000001426353,0.0000149658,0.000004618408,0.0001103124,0.9991356,0.0000311521,0.00001990292,0.0006313911],"study_design_scores_gemma":[0.000006157239,0.00007340455,0.000309467,0.000001947231,0.000003826721,0.0000440551,0.000003122748,0.001083323,0.9978041,0.00001215771,0.0006550063,0.000003349597],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9787374,0.001583877,0.01732389,0.0001166311,0.00005984361,0.00004021754,0.0003058439,0.0002851801,0.001547161],"genre_scores_gemma":[0.9906482,0.0005006108,0.007415169,0.00004278558,0.00001525975,0.00003137559,0.0001142787,0.00002478286,0.001207498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005441954,"threshold_uncertainty_score":0.001820505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01121536151813956,"score_gpt":0.2647855325511492,"score_spread":0.2535701710330096,"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."}}