{"id":"W2548467431","doi":"10.1038/srep36641","title":"Biodistribution of cisplatin revealed by imaging mass cytometry identifies extensive collagen binding in tumor and normal tissues","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":118,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Hospital for Sick Children; Fluidigm (Canada)","funders":"Canadian Cancer Society Research Institute","keywords":"Mass cytometry; Cisplatin; Biodistribution; Flow cytometry; In vivo; Cytometry; Cancer research; Pathology; Chemistry; Stroma; Cancer; Cell biology; Biology; Medicine; Molecular biology; Biochemistry; Internal medicine; Immunohistochemistry; Phenotype; Chemotherapy; Gene","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":[],"consensus_categories":[],"category_scores_codex":[0.0006032977,0.00009830446,0.0001420514,0.0001190155,0.00008319387,0.00007610559,0.00006575344,0.00004201078,0.00001700232],"category_scores_gemma":[0.0004508816,0.00008357172,0.00003576151,0.0002065582,0.0002299566,0.00001132497,0.0001004684,0.00002002839,0.000002338599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003150211,"about_ca_system_score_gemma":0.00007791552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003464229,"about_ca_topic_score_gemma":0.00002814016,"domain_scores_codex":[0.9988005,0.00002294838,0.0003650022,0.0004569688,0.0001513255,0.0002033069],"domain_scores_gemma":[0.9991926,0.00002533278,0.0002522647,0.0003157494,0.0001539606,0.00006009754],"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":[0.000014577,0.00001247439,0.0869511,0.00001547653,0.000006228231,0.00006416861,0.00002233349,0.000001329395,0.9014813,0.000004348797,0.01041067,0.001016018],"study_design_scores_gemma":[0.0002595594,0.0000277659,0.009103606,0.0000666753,0.00001092378,0.00008867468,0.0001046588,0.000009777541,0.9803758,0.0003112265,0.009501942,0.0001393848],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961727,0.001593175,0.0008506575,0.00007835972,0.0009217835,0.0001510791,0.0001205102,0.000004666481,0.0001071248],"genre_scores_gemma":[0.9987497,0.0001161057,0.000194224,0.00001348876,0.00003621653,0.000008382302,0.000153684,0.000008303268,0.0007199059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07889453,"threshold_uncertainty_score":0.3407956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005190128160061161,"score_gpt":0.236993040794544,"score_spread":0.2318029126344828,"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."}}