{"id":"W4405370549","doi":"10.1002/smll.202403044","title":"Large Language Model‐Assisted Genotoxic Metal‐Phenolic Nanoplatform for Osteosarcoma Therapy","year":2024,"lang":"en","type":"article","venue":"Small","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Science and Technology Plan Projects of Tibet Autonomous Region; Chongqing Graduate Student Research Innovation Project; National Key Research and Development Program of China; State Key Laboratory of Polymer Materials Engineering; Fundamental Research Funds for the Key Research Program of Chongqing Science and Technology Commission; National Natural Science Foundation of China","keywords":"Osteosarcoma; Gossypol; Polyphenol; Malignancy; Bisphenol A; Computer science; Cancer research; Chemistry; Medicine; Internal medicine; Biochemistry; Organic chemistry","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":[0.00007300406,0.000240444,0.0001103097,0.0001258205,0.00008690701,0.0001449823,0.0001743683,0.0002699824,0.001163489],"category_scores_gemma":[0.00008701415,0.000088793,0.0001754403,0.00006748603,0.0001356335,0.0001917029,0.0002233401,0.0002200522,0.0003106265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002621928,"about_ca_system_score_gemma":0.0001251019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002550927,"about_ca_topic_score_gemma":0.000615583,"domain_scores_codex":[0.9999526,0.000007506612,0.000002067301,0.00001360636,0.00001434,0.000009975906],"domain_scores_gemma":[0.9999615,0.000006953795,0.00001565443,0.000004598471,0.000004830655,0.000006489548],"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":[0.00003559537,0.00001697222,0.00004451382,0.00005387154,0.000003794262,0.00003468744,0.000006394839,0.0006511813,0.9965203,0.0002845845,0.0001181623,0.00222991],"study_design_scores_gemma":[0.000007490351,0.000198448,0.0001963824,0.000002693727,0.000008529794,0.00006242796,0.000007021786,0.003529776,0.9922883,0.00007522907,0.003617832,0.000005891064],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9505501,0.00202273,0.03959746,0.0002350227,0.00009631149,0.00009158574,0.0004843828,0.0006617792,0.006260696],"genre_scores_gemma":[0.9886193,0.0004302445,0.008237739,0.00005930677,0.000008109896,0.00004796826,0.00013508,0.00002266448,0.002439587],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001163489,"threshold_uncertainty_score":0.003892243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02894914595108615,"score_gpt":0.2830643587568553,"score_spread":0.2541152128057691,"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."}}