{"id":"W2109911979","doi":"10.1002/ijc.29074","title":"Single‐cell measurement of the uptake, intratumoral distribution and cell cycle effects of cisplatin using mass cytometry","year":2014,"lang":"en","type":"article","venue":"International Journal of Cancer","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Vale (Canada); University of Toronto; Ontario Institute for Cancer Research","funders":"","keywords":"Cisplatin; Mass cytometry; Flow cytometry; In vivo; Cell cycle; Cell; Cancer research; Chemistry; Oxaliplatin; In vitro; Distribution (mathematics); Cancer cell; Cancer; Pharmacology; Biology; Medicine; Chemotherapy; Immunology; Internal medicine; Biochemistry; Phenotype","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":[0.0003978807,0.0003185807,0.0005138054,0.0004650065,0.0002198173,0.000398126,0.0003557478,0.0006165677,0.0009402207],"category_scores_gemma":[0.0003562513,0.0001444355,0.000201128,0.0004105136,0.0003340925,0.000386909,0.000237479,0.0005687518,0.0004575032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004667755,"about_ca_system_score_gemma":0.0002305845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007938482,"about_ca_topic_score_gemma":0.00112705,"domain_scores_codex":[0.9997606,0.0000285023,0.0000141553,0.00009201199,0.00008166914,0.00002305107],"domain_scores_gemma":[0.9997277,0.0001080431,0.00004458547,0.00002875856,0.00006510539,0.00002591836],"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":[0.00002668981,0.00001217334,0.0002118372,0.00001743221,0.000002680336,0.000008611023,0.0000118539,0.0001271341,0.9980721,0.00005942733,0.00002743879,0.001422458],"study_design_scores_gemma":[0.000005088035,0.0001197556,0.001801051,0.000001650313,0.000007874688,0.00005788481,0.00001506183,0.004100305,0.9930764,0.0001039354,0.0007047007,0.000006165324],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7646821,0.002957058,0.225337,0.0002454585,0.0000913884,0.0004613065,0.002128853,0.0007012493,0.003395509],"genre_scores_gemma":[0.843798,0.002768828,0.1482705,0.0001289343,0.00004169767,0.000697761,0.001068585,0.00009059357,0.003135067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009402207,"threshold_uncertainty_score":0.003386736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01105480374996879,"score_gpt":0.2397765817057529,"score_spread":0.2287217779557841,"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."}}