{"id":"W1507647676","doi":"10.1080/15384047.2015.1040957","title":"Microarray expression profiling of dysregulated long non-coding RNAs in triple-negative breast cancer","year":2015,"lang":"en","type":"article","venue":"Cancer Biology & Therapy","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Triple-negative breast cancer; Breast cancer; KEGG; Cancer research; Carcinogenesis; Metastasis; Long non-coding RNA; Microarray; Biology; Gene expression profiling; Microarray analysis techniques; Cancer; Gene expression; Computational biology; Bioinformatics; Gene; RNA; Transcriptome; 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":[0.0003825833,0.0002720609,0.0003786812,0.0001711425,0.00005461176,0.00001206538,0.0003635985,0.0004506646,0.0001025398],"category_scores_gemma":[0.00004007035,0.0002395512,0.0001114375,0.0003571459,0.0002263265,0.000009519047,0.000124023,0.0002825667,0.000003021543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001833106,"about_ca_system_score_gemma":0.0006470139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008297295,"about_ca_topic_score_gemma":0.0003079244,"domain_scores_codex":[0.9981169,0.0002247056,0.0003766966,0.0006190919,0.0001561101,0.000506488],"domain_scores_gemma":[0.9988884,0.0000174642,0.0002063837,0.0004021017,0.0003388585,0.0001467449],"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":[0.001540955,0.00006735742,0.003195232,0.00001719676,0.000126492,0.000004737218,0.0002674618,0.0004884453,0.9819778,0.0000118677,0.0003273877,0.01197504],"study_design_scores_gemma":[0.003807731,0.0002905736,0.002199196,0.000135655,0.000009101827,0.00001118479,0.0001429263,0.0001620573,0.9921314,0.0001037877,0.0007431277,0.0002632854],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9755671,0.01038241,0.01177602,0.0003374452,0.0006566186,0.0009178336,0.0001742305,0.00001948976,0.0001688225],"genre_scores_gemma":[0.9933822,0.004927456,0.000508377,0.0002257559,0.0002809408,0.0003050722,0.0001064109,0.00005350316,0.0002102832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01781507,"threshold_uncertainty_score":0.9768615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02653408398810411,"score_gpt":0.3319312185800438,"score_spread":0.3053971345919397,"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."}}