{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000153612,0.0003793473,0.0001192327,0.0001398165,0.0001062158,0.0002046665,0.000131076,0.0002285675,0.0004286526],"category_scores_gemma":[0.0001665908,0.0001317517,0.0001755148,0.00008543363,0.000124069,0.0001781318,0.0001502022,0.0002171565,0.0001046559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002346601,"about_ca_system_score_gemma":0.0001865152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001461962,"about_ca_topic_score_gemma":0.002981303,"domain_scores_codex":[0.9999206,0.00001145706,0.000006149838,0.00001877058,0.00001947655,0.00002354989],"domain_scores_gemma":[0.9998862,0.00003620187,0.00003158839,0.000006478454,0.00001302061,0.00002654877],"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":[0.00004474071,0.000009816202,0.00003380725,0.0000354841,0.000003205686,0.00002303505,0.00001209281,0.00006672331,0.9988656,0.00001931501,0.00001712966,0.0008691032],"study_design_scores_gemma":[0.000007592603,0.0001583659,0.0007171865,0.000006043602,0.00001100764,0.00005222076,0.000008280295,0.0006470907,0.9976584,0.000005073488,0.0007228249,0.000005822017],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935097,0.001568178,0.003499232,0.00006642728,0.00003482853,0.00004743529,0.0001196264,0.00006873332,0.001085872],"genre_scores_gemma":[0.9940055,0.0007948725,0.004048586,0.00005908825,0.0000103239,0.00003150306,0.00007675088,0.00001850402,0.0009548076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001461962,"threshold_uncertainty_score":0.002906919,"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."}}