{"id":"W4392764535","doi":"10.1016/j.ijbiomac.2024.130709","title":"Versatile chondroitin sulfate-based nanoplatform for chemo-photodynamic therapy against triple-negative breast cancer","year":2024,"lang":"en","type":"article","venue":"International Journal of Biological Macromolecules","topic":"Nanoplatforms for cancer theranostics","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Health Commission of Jiangxi Province; China Scholarship Council; Education Department of Jiangxi Province; Mitacs","keywords":"Photodynamic therapy; Triple-negative breast cancer; Cancer research; Doxorubicin; Chemistry; Nanomedicine; Breast cancer; Cancer; CD44; Nanoparticle; Materials science; In vitro; Nanotechnology; Medicine; Chemotherapy; Internal medicine; Biochemistry","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":[0.00009929219,0.000237842,0.0001460347,0.0001225547,0.0001092754,0.0001641111,0.0001848388,0.0003317457,0.0005750835],"category_scores_gemma":[0.00008965779,0.00009433056,0.0001585254,0.00009722511,0.0001217431,0.0002283854,0.0002176058,0.0002702665,0.0002178666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000290292,"about_ca_system_score_gemma":0.0001931907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008009173,"about_ca_topic_score_gemma":0.001697894,"domain_scores_codex":[0.9999324,0.000006725873,0.000005492305,0.00001593747,0.00002253965,0.00001686909],"domain_scores_gemma":[0.9999523,0.000006520413,0.00001420684,0.000004393269,0.00001269092,0.000009907347],"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":[0.00002919999,0.000007752108,0.00003313146,0.00003405776,0.00000305738,0.00002288906,0.000009234619,0.0001511325,0.9978243,0.00009499781,0.00004492483,0.00174538],"study_design_scores_gemma":[0.000003902005,0.0000950118,0.0002698263,0.000002277062,0.000006578994,0.00006875865,0.000006230714,0.001127511,0.9971312,0.00001809585,0.001266669,0.000003896739],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9778847,0.002344197,0.01593413,0.0001297541,0.00006618875,0.00005550842,0.0002897594,0.0001390301,0.003156733],"genre_scores_gemma":[0.9892725,0.000874144,0.006521655,0.00009231819,0.000008991005,0.00003627804,0.000140587,0.00001757285,0.003036056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008009173,"threshold_uncertainty_score":0.00210619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01526090659425755,"score_gpt":0.2681574222181917,"score_spread":0.2528965156239342,"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."}}