{"id":"W3047276503","doi":"10.1158/1538-7445.pedca19-ia30","title":"Abstract IA30: Using single-cell, high-dimensional approaches to unravel tumor heterogeneity in pediatric cancer","year":2020,"lang":"en","type":"article","venue":"Cancer Research","topic":"CAR-T cell therapy research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Mass cytometry; Bone marrow; Cancer; Leukemia; B cell; Oncology; Immunology; Cancer research; Internal medicine; Antibody; Biology; Phenotype","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000483313,0.0003463781,0.0003729819,0.0008491101,0.0002125472,0.0007155573,0.0003103213,0.0003620255,0.001021499],"category_scores_gemma":[0.0006372696,0.000210556,0.0002721608,0.0006669677,0.0003075621,0.0004015788,0.0004618488,0.000536274,0.0002945662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004265308,"about_ca_system_score_gemma":0.0003512191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001395746,"about_ca_topic_score_gemma":0.001922473,"domain_scores_codex":[0.9998915,0.00002064063,0.000006108871,0.00004209955,0.00002573891,0.00001387975],"domain_scores_gemma":[0.9997551,0.0000870526,0.00004516359,0.00003199324,0.00003819136,0.00004255824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003475499,0.0001042795,0.0492062,0.0003363818,0.0001264863,0.0002300943,0.0002676854,0.04283703,0.7759187,0.002356646,0.002856545,0.1254125],"study_design_scores_gemma":[0.00004294518,0.0002193132,0.1356812,0.00004963751,0.0001071522,0.0008367476,0.0004045039,0.6445675,0.1969709,0.008079635,0.01296643,0.00007410136],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6771728,0.003088746,0.3127333,0.0005754861,0.00005865009,0.0001084509,0.003425432,0.001107953,0.001729103],"genre_scores_gemma":[0.8042042,0.001229426,0.1905521,0.0001002352,0.00006207146,0.0001404473,0.002814431,0.0001503705,0.0007468359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001395746,"threshold_uncertainty_score":0.003417253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4101916416728193,"score_gpt":0.4161850809966296,"score_spread":0.005993439323810301,"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."}}