{"id":"W2153419854","doi":"10.1677/jme-08-0164","title":"Calcium-sensing receptor mutations and denaturing high performance liquid chromatography","year":2009,"lang":"en","type":"article","venue":"Journal of Molecular Endocrinology","topic":"Parathyroid Disorders and Treatments","field":"Medicine","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Royal Victoria Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Ministero della Salute; Kidney Foundation of Canada; Dairy Farmers of Canada","keywords":"Denaturing high performance liquid chromatography; Amplicon; Missense mutation; Calcium-sensing receptor; Exon; Mutation; High Resolution Melt; Molecular biology; Biology; Genetics; Gene; Internal medicine; Calcium metabolism; Polymerase chain reaction; Calcium; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001393994,0.0009852946,0.0005153642,0.002116716,0.0003805727,0.0005746917,0.0006622422,0.0005931199,0.0009557009],"category_scores_gemma":[0.004426417,0.0004502845,0.0002727105,0.0009084771,0.0006549528,0.000291327,0.000674037,0.0008387811,0.001055464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003591445,"about_ca_system_score_gemma":0.0004471104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002296808,"about_ca_topic_score_gemma":0.003196048,"domain_scores_codex":[0.9964039,0.001176592,0.0002581908,0.0005645514,0.001305212,0.0002915229],"domain_scores_gemma":[0.9978179,0.001139975,0.0002496137,0.0002751524,0.0003780377,0.0001393724],"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":[0.0004322531,0.0003767899,0.01236967,0.0001899636,0.0001290401,0.0006831519,0.000219634,0.0004275253,0.9369256,0.0005692772,0.0006769676,0.04700019],"study_design_scores_gemma":[0.00007306084,0.0007636857,0.04044461,0.00004537524,0.0001566462,0.005305298,0.0001252522,0.009253614,0.9291716,0.0005143157,0.0140653,0.00008131675],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5755978,0.01009123,0.3967539,0.0009064621,0.0002697507,0.002579553,0.00155254,0.002915958,0.009332908],"genre_scores_gemma":[0.6171371,0.004799562,0.3634206,0.0008989884,0.0001407112,0.002437245,0.003392902,0.0002370985,0.00753575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002296808,"threshold_uncertainty_score":0.0073722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01048093910614377,"score_gpt":0.2704848597053629,"score_spread":0.2600039205992191,"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."}}