{"id":"W3153730804","doi":"10.1002/adtp.202100022","title":"Targeting Signaling Pathways of Hyaluronic Acid and Integrin Receptors by Synergistic Combination Nanocomposites Inhibits Systemic Metastases and Primary Triple Negative Breast Cancer","year":2021,"lang":"en","type":"article","venue":"Advanced Therapeutics","topic":"Proteoglycans and glycosaminoglycans research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Cancer research; Triple-negative breast cancer; Doxorubicin; Hyaluronic acid; Metastasis; Integrin; Nanomedicine; Chemistry; In vitro; Cancer cell; Pharmacology; Cancer; Receptor; Breast cancer; Medicine; Materials science; Chemotherapy; Biochemistry; Internal medicine; Nanoparticle; Nanotechnology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00009144288,0.0003733877,0.0002380323,0.0001625714,0.00006999334,0.0001488227,0.0001158457,0.0001655044,0.0007556951],"category_scores_gemma":[0.00004874744,0.000123255,0.0001883005,0.00007558333,0.0001125367,0.0001054947,0.0001288627,0.0002850689,0.0001617416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001829775,"about_ca_system_score_gemma":0.0001535255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002582771,"about_ca_topic_score_gemma":0.0007057953,"domain_scores_codex":[0.9999233,0.00001106505,0.000004801288,0.00001390201,0.00002646638,0.00002040684],"domain_scores_gemma":[0.9999712,0.000004324427,0.000007860506,0.000002660475,0.000003899841,0.00001003268],"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":[0.00008569495,0.00006969389,0.00008194212,0.00003698528,0.000007754251,0.00001991894,0.000004438587,0.0001224671,0.997259,0.00003374351,0.00003990791,0.00223842],"study_design_scores_gemma":[0.00003613226,0.001178686,0.001433644,0.000004050948,0.00003902665,0.0001943957,0.000006788876,0.001812068,0.9935431,0.00001720572,0.001731264,0.000003533434],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993265,0.002284638,0.002431158,0.00005319677,0.00003226055,0.00004720494,0.00005589721,0.00006836042,0.001762349],"genre_scores_gemma":[0.9958627,0.0006589114,0.001521662,0.00002706296,0.00001154669,0.00004952345,0.00006866174,0.000006798174,0.001793102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007556951,"threshold_uncertainty_score":0.002528071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01094146320056878,"score_gpt":0.2565569528914055,"score_spread":0.2456154896908367,"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."}}