{"id":"W4291021107","doi":"10.1021/acsabm.2c00598","title":"Effect of Chitosan on Alginate-Based Macroporous Hydrogels for the Capture of Glioblastoma Cancer Cells","year":2022,"lang":"en","type":"article","venue":"ACS Applied Bio Materials","topic":"Hydrogels: synthesis, properties, applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Polytechnique Montréal","funders":"Institut TransMedTech; Fonds de recherche du Québec – Nature et technologies; Canada First Research Excellence Fund; Polytechnique Montréal","keywords":"Chitosan; Glioblastoma; Self-healing hydrogels; Cancer; Materials science; Chemistry; Cancer research; Nanotechnology; Medicine; Polymer chemistry; Biochemistry; Internal medicine","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":[0.0004055432,0.0002297774,0.0003485983,0.00004698177,0.0001826131,0.00001520666,0.000494804,0.0001179226,0.00009657936],"category_scores_gemma":[0.00002162788,0.0001619194,0.00009568419,0.000112768,0.0001576421,0.000001376878,0.0001581682,0.00006149966,0.000002769976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000166779,"about_ca_system_score_gemma":0.00007877225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001405906,"about_ca_topic_score_gemma":0.000008395152,"domain_scores_codex":[0.9986848,0.0001240325,0.000362749,0.0003704728,0.0002050681,0.0002528954],"domain_scores_gemma":[0.9988883,0.00009009551,0.0003225626,0.0006379439,0.00002430386,0.00003686508],"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":[0.001428069,0.00008853149,0.000006790038,0.0001481788,0.0001019422,2.852147e-7,0.00003769098,0.0009863137,0.9947284,0.0001056139,0.0003833835,0.001984807],"study_design_scores_gemma":[0.000709851,0.0008048214,0.00001502681,0.000009728134,0.00009650389,0.000001461657,0.00002680593,0.00001107176,0.9903533,0.00001409674,0.007785972,0.0001713645],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962213,0.0003054252,0.0001186532,0.0001738874,0.0001711935,0.001580448,0.001299873,0.0000165193,0.0001127044],"genre_scores_gemma":[0.9964115,0.00002849971,0.00006545554,0.0002279417,0.0001119312,0.002947744,0.0001229738,0.00005503012,0.00002894695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007402588,"threshold_uncertainty_score":0.6602882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00645039777316048,"score_gpt":0.2349781230733843,"score_spread":0.2285277253002239,"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."}}