{"id":"W3033765035","doi":"10.1371/journal.pone.0233713","title":"Peripheral blood transcriptome identifies high-risk benign and malignant breast lesions","year":2020,"lang":"en","type":"article","venue":"PLoS ONE","topic":"14-3-3 protein interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Breast cancer; Transcriptome; Gene expression profiling; Biomarker; Microarray; Immune system; Biology; Gene expression; Gene signature; Microarray analysis techniques; Oncology; Medicine; Immunology; Bioinformatics; Gene; Cancer; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000452371,0.0001344092,0.000153997,0.00002106329,0.0001309496,0.00005161356,0.0001244432,0.00009407354,0.0001623509],"category_scores_gemma":[0.00007581263,0.0001328302,0.00006034416,0.00006035599,0.00006876799,0.000008494623,0.00006687953,0.0001348603,0.00002147004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004988966,"about_ca_system_score_gemma":0.00002406908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001020586,"about_ca_topic_score_gemma":0.00005134357,"domain_scores_codex":[0.9991143,0.00005450551,0.000163725,0.0003492052,0.0001368083,0.0001814405],"domain_scores_gemma":[0.9995202,0.000009706128,0.00005237656,0.0002111012,0.0000694179,0.0001371372],"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":[0.00005839939,0.0003343117,0.002938927,0.00004114234,0.0003420461,0.000006353289,0.0001971033,0.000002722745,0.9955381,0.00004876842,0.0002987834,0.0001933615],"study_design_scores_gemma":[0.0007369564,0.000412286,0.009769161,0.00006061922,0.0003589435,0.00003321649,0.000187051,0.00004550584,0.9874638,0.00007620612,0.0006099788,0.0002462565],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966908,0.0006708864,0.0002513624,0.001739732,0.00004254742,0.0002078863,0.0002308941,0.00003249319,0.0001334128],"genre_scores_gemma":[0.9967202,0.0004564668,0.00140553,0.0002851686,0.0002836877,0.0000499521,0.00007269496,0.0000267744,0.0006995227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008074261,"threshold_uncertainty_score":0.5416659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02071235174594341,"score_gpt":0.2132866772630225,"score_spread":0.1925743255170791,"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."}}