{"id":"W4319460786","doi":"10.1080/10717544.2023.2174210","title":"SREKA-targeted liposomes for highly metastatic breast cancer therapy","year":2023,"lang":"en","type":"article","venue":"Drug Delivery","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"IONICS Mass Spectrometry (Canada)","funders":"European Regional Development Fund; Hungarian Scientific Research Fund; European Commission","keywords":"Liposome; In vivo; Homing (biology); Cancer research; Metastasis; In vitro; Metastatic breast cancer; Chemistry; Medicine; Cancer; Biology; Biochemistry; Breast cancer; Internal medicine","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":[0.0001814013,0.0003756479,0.0002744363,0.0002680866,0.0001024777,0.000217769,0.0001965631,0.0003539305,0.001034727],"category_scores_gemma":[0.0001060332,0.0001102355,0.0002345944,0.0001368946,0.0001206501,0.0003413347,0.0003270398,0.0005700945,0.0005666612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002633259,"about_ca_system_score_gemma":0.0001887402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002621363,"about_ca_topic_score_gemma":0.0003586149,"domain_scores_codex":[0.9999095,0.00002169781,0.000007577249,0.00002030587,0.000022902,0.00001800634],"domain_scores_gemma":[0.9999614,0.000006361498,0.00001162429,0.00000396529,0.000009164401,0.000007476115],"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":[0.00007559564,0.00002461465,0.00004051664,0.0001160111,0.000006285045,0.00004572235,0.00001220575,0.0002107157,0.9932845,0.0003380039,0.0001270138,0.005718958],"study_design_scores_gemma":[0.00003873107,0.0002947568,0.0003533987,0.0000163424,0.00002931087,0.0003366999,0.00000832947,0.002000399,0.9866436,0.0001420979,0.01012514,0.000011189],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8249093,0.03271574,0.1304759,0.0009244506,0.0002634116,0.0006268562,0.0009901284,0.0008179973,0.008276222],"genre_scores_gemma":[0.9459779,0.009696457,0.03765038,0.0002442086,0.00003937379,0.000224001,0.0006469506,0.00006877601,0.005451831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001034727,"threshold_uncertainty_score":0.00346154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0216556056608577,"score_gpt":0.2669715551626198,"score_spread":0.2453159495017621,"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."}}