{"id":"W4313394302","doi":"10.21608/muj.2022.181558.1120","title":"Accuracy of combined serum micro RNA 21 and micro RNA let 7g expression level in breast cancer diagnosis","year":2022,"lang":"en","type":"article","venue":"Medicine Updates","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Cancer Research","funders":"","keywords":"RNA; Breast cancer; microRNA; Cancer; Non-coding RNA; Computational biology; Cancer research; Medicine; Biology; Internal medicine; Gene; 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":[0.002030909,0.0005003428,0.0006150467,0.001453823,0.0001995201,0.001061157,0.0003132674,0.0008741,0.0009996512],"category_scores_gemma":[0.003986643,0.0003437572,0.0003284618,0.0005456671,0.0003913038,0.0003215775,0.0003731276,0.0003942459,0.0006422799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002373418,"about_ca_system_score_gemma":0.0002399956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003802142,"about_ca_topic_score_gemma":0.0006103526,"domain_scores_codex":[0.9983388,0.0006075432,0.0001209516,0.0003755931,0.0004490658,0.0001080685],"domain_scores_gemma":[0.9984297,0.0008179633,0.0002735949,0.0001224206,0.0002640666,0.00009213767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003063526,0.0001736227,0.7912933,0.0002703382,0.0003199366,0.0003577807,0.0002523219,0.001381291,0.1385153,0.000206856,0.0005547073,0.06361091],"study_design_scores_gemma":[0.00008343088,0.002416638,0.7141432,0.0001703352,0.0008970192,0.004408812,0.0005299072,0.04913268,0.2216705,0.00109403,0.005355192,0.00009836573],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9661538,0.008775804,0.02004029,0.0002864249,0.0001595005,0.0000832535,0.0006175907,0.0004708527,0.003412445],"genre_scores_gemma":[0.9885156,0.0008601752,0.009375728,0.000124156,0.00005064554,0.00005066762,0.0003163261,0.00001647306,0.0006901473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002030909,"threshold_uncertainty_score":0.01074058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01535558346774957,"score_gpt":0.2908667783479092,"score_spread":0.2755111948801596,"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."}}