{"id":"W4399505293","doi":"10.1158/1538-8514.synthleth24-a026","title":"Abstract A026: Single-cell landscape deciphering cancer Single-cell landscape deciphering cancer cell-of-origin and cellular heterogeneity in malignant transformation of 13 major tissues","year":2024,"lang":"en","type":"article","venue":"Molecular Cancer Therapeutics","topic":"Immune cells in cancer","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biology; Carcinogenesis; Cancer stem cell; Cancer; Malignant transformation; Tumor microenvironment; Cancer research; Stem cell; Cancer cell; Cell; Tumor progression; Immunology; Cell biology; Genetics","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":[0.0008720942,0.0003334129,0.0007596155,0.001419704,0.0006211075,0.001471241,0.0004732158,0.0006218458,0.005446658],"category_scores_gemma":[0.001360078,0.0002922197,0.0005440968,0.00166121,0.000382872,0.0008966987,0.0008815742,0.0005053323,0.001380193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003415268,"about_ca_system_score_gemma":0.0004259158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001727368,"about_ca_topic_score_gemma":0.002907573,"domain_scores_codex":[0.9995485,0.00005122369,0.00004284645,0.000183897,0.0001198609,0.00005360032],"domain_scores_gemma":[0.9992768,0.0001697787,0.0001206472,0.0001265624,0.0002200545,0.00008616374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001089407,0.00008905328,0.3062041,0.001768888,0.0007153715,0.0005939824,0.0006797688,0.007982098,0.5181707,0.003649464,0.02327505,0.1357821],"study_design_scores_gemma":[0.00006102628,0.0003085734,0.772941,0.0001456086,0.0006689182,0.001414259,0.0008999548,0.04159062,0.09950346,0.009176156,0.07315336,0.0001371653],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8659766,0.01305562,0.06376505,0.001382276,0.0004880222,0.0001573945,0.04360234,0.002066461,0.009506248],"genre_scores_gemma":[0.9381583,0.002313592,0.02442231,0.0003613024,0.0002727777,0.0002197877,0.02923294,0.0002561354,0.004762927],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.005446658,"threshold_uncertainty_score":0.01822084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.024759803609713,"score_gpt":0.2682939568048664,"score_spread":0.2435341531951534,"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."}}