{"id":"W2165870805","doi":"10.1186/s40463-015-0083-5","title":"Serum microRNA profiling to distinguish papillary thyroid cancer from benign thyroid masses","year":2015,"lang":"en","type":"article","venue":"Journal of Otolaryngology - Head and Neck Surgery","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen Elizabeth II Health Sciences Centre; Dalhousie University","funders":"Dalhousie University","keywords":"Papillary thyroid cancer; Thyroid cancer; microRNA; Thyroid; Medicine; Thyroid tumors; Pathology; Cancer; Cancer research; Oncology; Internal medicine; Biology; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005023192,0.0002240449,0.000463348,0.0001324483,0.00008594366,0.00003848274,0.0001639704,0.000233771,0.00002194153],"category_scores_gemma":[0.0004967598,0.0002009166,0.0001746593,0.0001200971,0.00007738937,0.00002085017,0.0001305355,0.0001885955,0.000005647483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004312468,"about_ca_system_score_gemma":0.0004329854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000595768,"about_ca_topic_score_gemma":0.00005635232,"domain_scores_codex":[0.998408,0.0001720633,0.0005778769,0.000321047,0.0001886046,0.0003324488],"domain_scores_gemma":[0.9985265,0.00009211901,0.0003962053,0.0002424391,0.0003413934,0.0004013253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003873383,0.00005642569,0.5056019,0.00002734754,0.0001192177,0.00009373591,0.00005467069,0.00003364087,0.4797288,0.000003821074,0.01357821,0.000314801],"study_design_scores_gemma":[0.0009810292,0.000437523,0.7825975,0.0002279373,0.0001064232,0.0003705529,0.00007272606,0.00002218073,0.1916218,0.0001918842,0.02296885,0.0004016185],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840472,0.01408959,0.0001290663,0.0006883394,0.0007242272,0.0001539977,0.00006630989,0.00001004504,0.00009121553],"genre_scores_gemma":[0.9955088,0.0007455864,0.00154906,0.0007726543,0.001246942,0.00000929334,0.00006824084,0.00003497369,0.00006442083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2881071,"threshold_uncertainty_score":0.8193139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02214562574542689,"score_gpt":0.2745092589948941,"score_spread":0.2523636332494673,"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."}}