{"id":"W4366351046","doi":"10.1002/advs.202207488","title":"Systemic Tumor Suppression via Macrophage‐Driven Automated Homing of Metal‐Phenolic‐Gated Nanosponges for Metastatic Melanoma","year":2023,"lang":"en","type":"article","venue":"Advanced Science","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Institute of General Medical Sciences; Young Scientists Fund; Natural Science Foundation of Sichuan Province; State Key Laboratory of Polymer Materials Engineering; National Institutes of Health; Fundamental Research Funds for the Central Universities; Sichuan University; National Natural Science Foundation of China","keywords":"Homing (biology); Melanoma; Metastatic melanoma; Macrophage; Cancer research; Chemistry; Medicine; Biology; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001608293,0.0002808252,0.000539624,0.0004383626,0.0004571983,0.00008858833,0.001042155,0.00005161144,0.00005006146],"category_scores_gemma":[0.0008303819,0.0002399715,0.00010387,0.002489228,0.0007023546,0.001123032,0.0002984674,0.0001063191,0.0003151596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001499016,"about_ca_system_score_gemma":0.0002870186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002977044,"about_ca_topic_score_gemma":0.000006441598,"domain_scores_codex":[0.9965061,0.0001527577,0.0007011253,0.0008383011,0.0008458227,0.0009559011],"domain_scores_gemma":[0.9976497,0.0005419777,0.0004664756,0.0006857186,0.0004360567,0.000220102],"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":[0.000110714,0.0000511722,0.00007228939,0.0001675194,0.000008322947,0.00003902648,0.00034977,0.0157622,0.9822894,0.0001320559,0.00007030516,0.0009471666],"study_design_scores_gemma":[0.00089153,0.0001837358,0.0003783185,0.0001884582,0.00004543586,0.00004073653,0.0002811835,0.1225255,0.8749566,0.0002094084,0.00004942643,0.0002496831],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945793,0.0002202247,0.002177782,0.00006460039,0.0009010851,0.0009234153,0.0001361941,0.0009689616,0.00002844348],"genre_scores_gemma":[0.982336,0.000009410697,0.01728562,0.00005069954,0.00001925334,0.0001256498,0.00001260321,0.00003898576,0.0001217934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1073329,"threshold_uncertainty_score":0.9785756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.015100023503427,"score_gpt":0.2840703532261084,"score_spread":0.2689703297226814,"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."}}