{"id":"W1986763225","doi":"10.1155/2011/213848","title":"Optimizing Liposomal Cisplatin Efficacy through Membrane Composition Manipulations","year":2011,"lang":"en","type":"article","venue":"Chemotherapy Research and Practice","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Celator Pharmaceuticals (Canada)","funders":"","keywords":"Cisplatin; Liposome; Drug; Pharmacology; Pharmacokinetics; Paclitaxel; In vivo; Phospholipid; Drug delivery; Medicine; Phosphatidylcholine; Chemistry; Membrane; Chemotherapy; Internal medicine; Biochemistry; Biology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001755983,0.0001286964,0.0001489299,0.00008391621,0.0004709551,0.000194806,0.0002107785,0.00007766251,0.001235848],"category_scores_gemma":[0.000367537,0.0001203694,0.00002878276,0.0003298147,0.000276785,0.001341021,0.00007663621,0.0002777803,0.0003581594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004914842,"about_ca_system_score_gemma":0.00006759393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002549875,"about_ca_topic_score_gemma":0.000005850477,"domain_scores_codex":[0.9978985,0.0005340772,0.000234159,0.000368441,0.0004978017,0.0004670683],"domain_scores_gemma":[0.9972281,0.001891661,0.00009114204,0.0003428262,0.000300456,0.0001458404],"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":[0.001799257,0.0004990353,0.00003490184,0.00002249822,0.00001742978,0.00003172197,0.004069744,0.00002419316,0.9896936,0.002191754,0.000334025,0.001281818],"study_design_scores_gemma":[0.001400472,0.0004220541,0.0004298616,0.00003643044,0.0000153446,0.00009344645,0.0006077422,0.0004311736,0.9924399,0.0008233966,0.003131574,0.0001686677],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9776658,0.0004338817,0.001665605,0.002204166,0.0001010482,0.0004125148,0.000007007756,0.0001030237,0.01740699],"genre_scores_gemma":[0.9462131,0.0003139057,0.05263312,0.0004645502,0.0001278636,0.00002485821,0.000008001081,0.00002788638,0.0001867554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05096751,"threshold_uncertainty_score":0.9996772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1588927672440892,"score_gpt":0.3824020929035468,"score_spread":0.2235093256594576,"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."}}