{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009807597,0.00007654537,0.00008532703,0.00005445593,0.00001819357,0.000009724351,0.0001143212,0.00006720399,0.0001993727],"category_scores_gemma":[0.0002212557,0.00006064195,0.00004449486,0.0000612979,0.00008420181,0.0001090608,0.00003423306,0.00002982781,0.000003784446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006364405,"about_ca_system_score_gemma":0.00002007646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003030571,"about_ca_topic_score_gemma":0.000002855652,"domain_scores_codex":[0.9993505,0.000003947023,0.0001350543,0.0001259042,0.0002515309,0.0001329983],"domain_scores_gemma":[0.9995734,0.0001338577,0.00002997751,0.00007425564,0.0001256353,0.00006289168],"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":[0.00002435497,0.00001000774,0.0007658143,0.00008950913,0.00007338733,0.000001408033,0.00001926399,0.000009348832,0.9892272,0.0004989135,0.004812596,0.004468194],"study_design_scores_gemma":[0.0004958273,0.00002019623,0.000507298,0.0001242848,0.000009442333,0.000002160411,0.000006658645,0.0003917962,0.9901314,0.00182857,0.00640402,0.00007829029],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.940877,0.0007004766,0.0504412,0.001835076,0.001023432,0.0002465439,0.0003249756,0.0001254224,0.004425828],"genre_scores_gemma":[0.9978977,0.0007820996,0.0006266034,0.00003453811,0.0004184303,0.00004265537,0.00003456075,0.00001923879,0.0001441767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05702065,"threshold_uncertainty_score":0.2472907,"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."}}