{"id":"W3025989931","doi":"10.3390/jcm9051443","title":"Can Circulating Cardiac Biomarkers Be Helpful in the Assessment of LMNA Mutation Carriers?","year":2020,"lang":"en","type":"article","venue":"Journal of Clinical Medicine","topic":"Nuclear Structure and Function","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Narodowe Centrum Badań i Rozwoju; Komitet Badań Naukowych; Narodowym Centrum Nauki","keywords":"Medicine; LMNA; Internal medicine; Cardiology; Heart failure; Missense mutation; Biomarker; Natriuretic peptide; Cohort; Brain natriuretic peptide; Lamin; Mutation; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001268773,0.00006209875,0.0002827104,0.00002596674,0.00001733078,0.000003147255,0.0001102358,0.00008801249,0.00001636784],"category_scores_gemma":[0.001452644,0.00003712904,0.000132065,0.0001074568,0.00009118706,0.000002954926,0.00001561042,0.0002202541,8.578761e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006611647,"about_ca_system_score_gemma":0.00009222615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001754743,"about_ca_topic_score_gemma":0.00000692665,"domain_scores_codex":[0.9986306,0.0002272527,0.0007277432,0.00009542648,0.0002469186,0.00007204478],"domain_scores_gemma":[0.9991219,0.0001199957,0.000465642,0.0000978234,0.0001166617,0.00007794332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001011075,0.0001326769,0.4237465,0.0001727566,0.001043374,0.0001569625,0.002680554,0.0004148783,0.419708,0.0002782175,0.02035787,0.1302972],"study_design_scores_gemma":[0.004824992,0.007735835,0.9383489,0.0001731444,0.0003687279,0.00009597375,0.007356496,0.000845511,0.002636244,0.0002941623,0.03713452,0.0001854984],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9789178,0.0002432669,0.0004322039,0.01886607,0.0005658531,0.00007739227,0.000003072518,9.832435e-7,0.0008934055],"genre_scores_gemma":[0.9959179,0.0001255574,0.0004858847,0.002137176,0.001314881,4.341095e-7,0.000009741641,0.000005776181,0.000002721237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5146024,"threshold_uncertainty_score":0.1739055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0485788382894595,"score_gpt":0.3935421847372053,"score_spread":0.3449633464477457,"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."}}