{"id":"W4309190654","doi":"10.1158/1538-7445.panca22-a036","title":"Abstract A036: Plasma extracellular RNA for the detection of pancreatic cancer","year":2022,"lang":"en","type":"article","venue":"Cancer Research","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Ontario Institute for Cancer Research; University of Toronto","funders":"","keywords":"Subtyping; Transcriptome; Pancreatic cancer; Liquid biopsy; Gene; RNA; Gene expression profiling; Cancer; Cancer research; Medicine; Gene expression; Biology; Oncology; Internal medicine; Genetics","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":[0.0004302849,0.0003885805,0.0002968846,0.000693239,0.0002231143,0.0006456296,0.0001957777,0.0005536706,0.002146642],"category_scores_gemma":[0.0007478226,0.0001270123,0.0002547872,0.0004813301,0.0002047871,0.0002002801,0.0003049751,0.0005370713,0.00119154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000137594,"about_ca_system_score_gemma":0.0001538555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001920765,"about_ca_topic_score_gemma":0.0002222925,"domain_scores_codex":[0.9995874,0.0001093625,0.0000281696,0.0001203198,0.0001176834,0.00003707067],"domain_scores_gemma":[0.9996765,0.0001275586,0.00005607622,0.00002625008,0.00007441144,0.00003921066],"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":[0.0008003845,0.00004956719,0.01203597,0.0001827112,0.00003628821,0.0001870684,0.00005085252,0.0001394049,0.9670935,0.0000557569,0.0006290998,0.01873933],"study_design_scores_gemma":[0.00006435683,0.001672549,0.133737,0.00009789783,0.0001399121,0.004229118,0.0002719236,0.007972149,0.8390769,0.0004251811,0.01226908,0.00004388248],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9480926,0.006982207,0.03263578,0.0005820249,0.0003219922,0.0002244031,0.007703638,0.0006838092,0.002773565],"genre_scores_gemma":[0.9587806,0.001632473,0.02846092,0.0005740642,0.0001773056,0.0002375305,0.00694906,0.0001350508,0.003053065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002146642,"threshold_uncertainty_score":0.007181227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04674640545509699,"score_gpt":0.3628959635795846,"score_spread":0.3161495581244876,"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."}}