{"id":"W2796351055","doi":"10.1210/jc.2017-02506","title":"Identification of Differential Transcriptional Patterns in Primary and Secondary Hyperparathyroidism","year":2018,"lang":"en","type":"article","venue":"The Journal of Clinical Endocrinology & Metabolism","topic":"Parathyroid Disorders and Treatments","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital","funders":"Institute of Genetics and Genomics of Geneva; Université de Genève","keywords":"Adenoma; Biology; Hyperplasia; Parathyroid adenoma; Endocrinology; Hyperparathyroidism; Carcinogenesis; Internal medicine; Primary hyperparathyroidism; Cancer research; Gene; Genetics; Medicine","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":[0.0001665176,0.0001253942,0.0001856313,0.0005072571,0.0001123166,0.0002973795,0.0001172014,0.0001962996,0.001198592],"category_scores_gemma":[0.0003882554,0.00009525965,0.0002251968,0.0003049007,0.0002319012,0.0001047605,0.0001965217,0.0001708985,0.0002207817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001460364,"about_ca_system_score_gemma":0.0001167333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001751978,"about_ca_topic_score_gemma":0.0002375358,"domain_scores_codex":[0.9998167,0.00001752442,0.00001433087,0.00007475251,0.00005187791,0.00002491704],"domain_scores_gemma":[0.9997573,0.00005599221,0.00009110622,0.00002340881,0.00004120963,0.00003099426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005347602,0.00001746281,0.04304285,0.0001269282,0.0000341298,0.0003228848,0.0001401503,0.0000829584,0.9503087,0.00009723324,0.00008094128,0.005211104],"study_design_scores_gemma":[0.00002356186,0.000437234,0.7816243,0.00002118062,0.0001098598,0.00492199,0.0003888748,0.001340784,0.2078019,0.000347818,0.002968501,0.00001396649],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970899,0.0008282206,0.001027534,0.00003540626,0.000006237215,0.00001150775,0.0004358511,0.00002314462,0.0005422903],"genre_scores_gemma":[0.9976826,0.0003021,0.0009217858,0.00002835817,0.00000865793,0.00002351939,0.0005952124,0.000007957658,0.0004297865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001198592,"threshold_uncertainty_score":0.004009664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03440609251534998,"score_gpt":0.3542405675325415,"score_spread":0.3198344750171915,"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."}}