{"id":"W2951423379","doi":"10.1016/j.jconrel.2019.06.012","title":"Heat-activated drug delivery increases tumor accumulation of synergistic chemotherapies","year":2019,"lang":"en","type":"article","venue":"Journal of Controlled Release","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":56,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Doxorubicin; Pharmacology; Cardiotoxicity; Pharmacokinetics; Anthracycline; Medicine; Drug; Drug delivery; In vivo; Liposome; Daunorubicin; Cancer; Therapeutic index; Chemotherapy; Cancer research; Chemistry; Internal medicine; Breast cancer; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001048253,0.0002075422,0.0009178387,0.0002579344,0.00005771313,0.00005757747,0.0002932275,0.00005350151,0.001047301],"category_scores_gemma":[0.0007008295,0.0001556817,0.0003042078,0.0002178732,0.00009026565,0.0005378917,0.0000361916,0.0001697224,0.0001010799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001155776,"about_ca_system_score_gemma":0.0003817203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002055403,"about_ca_topic_score_gemma":0.000005056139,"domain_scores_codex":[0.9974622,0.0003448253,0.001093999,0.0001808597,0.0006199954,0.0002981417],"domain_scores_gemma":[0.9970696,0.0009934136,0.0007537212,0.0002983522,0.0006913273,0.000193617],"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":[0.01027074,0.0003857308,0.001034993,0.00005281284,0.0000950059,0.00005724591,0.00008114905,0.005783829,0.9816702,0.00004645164,0.0002731717,0.0002486467],"study_design_scores_gemma":[0.0192584,0.000383162,0.001293828,0.000256549,0.0001859893,0.0000429479,0.0001776718,0.006854302,0.9710558,0.0001632793,0.0001257314,0.000202304],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975774,0.001065374,0.0001300183,0.0001799886,0.0004822574,0.0003923306,0.0000138133,0.0000284004,0.0001303781],"genre_scores_gemma":[0.9990587,0.00004215538,0.0003604748,0.0002170113,0.0001639324,0.000004929092,0.000001498915,0.00002659915,0.000124725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01061439,"threshold_uncertainty_score":0.9998659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01259766329955066,"score_gpt":0.2526561820993014,"score_spread":0.2400585187997507,"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."}}