{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004543976,0.0003562321,0.0003177562,0.0002412176,0.0002179287,0.0005135282,0.000227297,0.0003365614,0.0007180807],"category_scores_gemma":[0.0006560151,0.0002196474,0.000183786,0.0001815796,0.0002635583,0.000739116,0.0004032043,0.000434703,0.0004261977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004016121,"about_ca_system_score_gemma":0.0003058154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002664507,"about_ca_topic_score_gemma":0.0003657042,"domain_scores_codex":[0.9998009,0.00004553118,0.0000301984,0.0000368754,0.00005625075,0.00003036214],"domain_scores_gemma":[0.9998481,0.00003967877,0.00003750259,0.00000913092,0.00005239695,0.00001307259],"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":[0.00005492774,0.00001732448,0.00008005341,0.00004492127,0.000004364602,0.00002955772,0.00001918704,0.0002890355,0.9962612,0.0001753464,0.00001954287,0.003004638],"study_design_scores_gemma":[0.000007293537,0.00007300924,0.0001125941,0.00000285819,0.000006860039,0.00003311519,0.000007515355,0.0006254986,0.9983076,0.00002509226,0.0007954803,0.000002975175],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9748503,0.001797794,0.02066594,0.0001741374,0.00003822592,0.0002484562,0.0001079697,0.0001343485,0.001982815],"genre_scores_gemma":[0.9730521,0.002320782,0.02257505,0.0000714749,0.00001158804,0.0001540374,0.0001023916,0.00007118212,0.001641459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007180807,"threshold_uncertainty_score":0.002913952,"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."}}