{"id":"W3204461588","doi":"10.30683/1929-2279.2021.10.01","title":"RNA-Sequencing-Based lncRNA Biomarker Profiling on Triple Negative Breast Cancer","year":2021,"lang":"en","type":"article","venue":"Journal of cancer research updates","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Triple-negative breast cancer; Breast cancer; Biomarker; RNA; Biology; Cancer research; Long non-coding RNA; Cancer; Gene; Genetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0002426644,0.0002059634,0.0002414364,0.0004603915,0.0001516976,0.0003131892,0.0001073654,0.0002461129,0.0007730633],"category_scores_gemma":[0.0003510512,0.00008478451,0.0001678234,0.0003448856,0.000114511,0.0001343143,0.000174263,0.0001699912,0.0002693096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000162109,"about_ca_system_score_gemma":0.000213125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005994739,"about_ca_topic_score_gemma":0.001190611,"domain_scores_codex":[0.9998516,0.00001801739,0.00001639556,0.00004890946,0.00004857241,0.00001644263],"domain_scores_gemma":[0.9998924,0.00002650937,0.00002965351,0.000006119482,0.00003368663,0.00001154581],"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":[0.0003975249,0.00004015243,0.03701667,0.0002575275,0.00005241222,0.0002348619,0.000100297,0.0004000223,0.9436918,0.00008408678,0.0002738264,0.01745067],"study_design_scores_gemma":[0.00005079383,0.0007823547,0.3198935,0.00006550787,0.0003631143,0.002544406,0.0003457273,0.01331702,0.654153,0.0003217905,0.008114935,0.00004779828],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989009,0.002089613,0.005728586,0.00009696502,0.00002994092,0.00005989992,0.001774635,0.0001170139,0.001094366],"genre_scores_gemma":[0.9820982,0.0009088225,0.01229362,0.0001948956,0.00001651719,0.0001229004,0.002755932,0.00001996504,0.001589206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007730633,"threshold_uncertainty_score":0.002586186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04979692620732367,"score_gpt":0.3953784661112835,"score_spread":0.3455815399039598,"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."}}