{"id":"W2054468883","doi":"10.1158/1538-7445.am2014-3476","title":"Abstract 3476: Profiling CD antigens signature in human hepatocellular carcinoma (HCC) by cell-based high-throughput screening flow cytometry (HTS-FC)","year":2014,"lang":"en","type":"article","venue":"Cancer Research","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research; University Health Network","funders":"","keywords":"CD90; CD44; Flow cytometry; Antigen; CD24; Antibody; Hepatocellular carcinoma; Cancer research; Cluster of differentiation; Epithelial cell adhesion molecule; Cancer stem cell; Cytometry; Biology; Cancer; Cell; Molecular biology; Immunology; Medicine; Internal medicine","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":[0.0002331078,0.0002515281,0.0002842869,0.0008010609,0.0002382676,0.0002852331,0.0001259258,0.0001858446,0.001740006],"category_scores_gemma":[0.0001539608,0.00007157309,0.0001632977,0.0005577814,0.0001356514,0.0001213236,0.0001489062,0.0002054601,0.0006098999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001709652,"about_ca_system_score_gemma":0.0001345216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001090193,"about_ca_topic_score_gemma":0.001004785,"domain_scores_codex":[0.9998468,0.0000228332,0.00001106082,0.00003249942,0.00005579305,0.00003091372],"domain_scores_gemma":[0.9999176,0.00002541061,0.000008171379,0.000009816285,0.00002578012,0.00001313662],"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":[0.0001078981,0.00002647785,0.001804777,0.00005469719,0.000005857777,0.00004137582,0.00003261696,0.0001855551,0.9926616,0.00004580161,0.0001686617,0.004864587],"study_design_scores_gemma":[0.0000123311,0.0003290449,0.04859169,0.000007088387,0.00005345762,0.0004381003,0.00005016839,0.006682796,0.9406638,0.00008651183,0.003071411,0.00001367454],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9728047,0.00148326,0.02076275,0.0001221299,0.00002585445,0.0001348703,0.001996774,0.0005110175,0.002158631],"genre_scores_gemma":[0.9711649,0.0008993776,0.02015162,0.00008300033,0.00002980223,0.0001867892,0.003689924,0.00004979391,0.003744897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001740006,"threshold_uncertainty_score":0.00582093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03813180872879339,"score_gpt":0.319187581419699,"score_spread":0.2810557726909056,"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."}}