{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001349346,0.0001684691,0.0001343271,0.00005392613,0.00006383727,0.00005725355,0.0002095033,0.0001999014,0.00003647765],"category_scores_gemma":[0.00001254558,0.0001402465,0.0001977902,0.00006896715,0.00002250502,0.000005468346,0.00006336011,0.00009407924,0.00004699159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001238477,"about_ca_system_score_gemma":0.00008070727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009854741,"about_ca_topic_score_gemma":0.0001164806,"domain_scores_codex":[0.9990943,0.0000129494,0.0001601658,0.0003489868,0.0000689575,0.0003146314],"domain_scores_gemma":[0.999552,0.00001000534,0.00002618335,0.000307473,0.00004650691,0.00005787067],"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":[0.00008764577,0.00004625421,0.00001694764,0.00003501313,0.0001418042,0.000007685075,0.0003441493,0.00001987982,0.9830725,0.0003851132,0.001613353,0.01422962],"study_design_scores_gemma":[0.0006657836,0.0004907962,0.00006538161,0.00002422139,0.00003406244,0.00002351359,0.0002377884,0.005615958,0.9266022,0.0004262608,0.06551982,0.0002941522],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9792174,0.010349,0.008294233,0.0001020675,0.0002266332,0.0003045317,0.0001500968,0.00005058226,0.001305415],"genre_scores_gemma":[0.9911247,0.0003550143,0.0008676772,0.0006541017,0.0002544698,0.0001055962,0.0003516665,0.00004096536,0.006245753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06390646,"threshold_uncertainty_score":0.5719086,"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."}}