{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002366477,0.0002074902,0.0001641739,0.0005430619,0.0001406172,0.0003460638,0.0001610996,0.0003178853,0.0009713165],"category_scores_gemma":[0.0003188335,0.0001547771,0.0001086014,0.0001676708,0.0002747267,0.0002322422,0.0001449986,0.0003752024,0.0002711383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002924262,"about_ca_system_score_gemma":0.0001872703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005816075,"about_ca_topic_score_gemma":0.0005632038,"domain_scores_codex":[0.9998726,0.00001965608,0.000008023125,0.00004074152,0.00003952436,0.00001943607],"domain_scores_gemma":[0.9998116,0.00006019106,0.00004639075,0.00001591018,0.0000312988,0.00003459595],"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":[0.00002121218,0.000003105517,0.000413069,0.000005741527,0.000001324956,0.00002148371,0.000009329441,0.00002706867,0.9987896,0.00004791952,0.000006180537,0.0006539417],"study_design_scores_gemma":[0.000007420358,0.0001668238,0.0126176,0.00000391515,0.0000104509,0.0006268383,0.00003781267,0.001928029,0.9836517,0.00008542103,0.0008597658,0.000004288647],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9721347,0.001164449,0.02455708,0.0001279468,0.00001385077,0.00004360136,0.0001606482,0.0001104257,0.001687192],"genre_scores_gemma":[0.9861352,0.000640664,0.0118183,0.00005341405,0.000007414205,0.00004003214,0.0001482305,0.00001831907,0.001138273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009713165,"threshold_uncertainty_score":0.003249407,"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."}}