{"id":"W2951349234","doi":"10.5603/pjnns.a2019.0023","title":"Molecular biomarkers for neuromuscular disorders – challenges and future perspectives","year":2018,"lang":"en","type":"review","venue":"Neurologia i Neurochirurgia Polska","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Care Foundation","funders":"","keywords":"Medicine; Biomarker discovery; Biomarker; Epigenetics; Bioinformatics; Computational biology; Molecular biomarkers; Identification (biology); Proteomics; Internal medicine; Biology; Genetics; Gene","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000319752,0.0009276294,0.001167952,0.0002907953,0.0002419264,0.00009323342,0.0007978084,0.0007928018,0.000007395428],"category_scores_gemma":[0.000397597,0.0007971035,0.0009046854,0.0001927589,0.0004532692,0.00001059076,0.0005006906,0.0005478286,0.0000114536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001529881,"about_ca_system_score_gemma":0.000185503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003840657,"about_ca_topic_score_gemma":0.00001180269,"domain_scores_codex":[0.99568,0.000580933,0.0005072326,0.00197209,0.0003038311,0.0009559091],"domain_scores_gemma":[0.9979827,0.0001429889,0.0002997593,0.001118765,0.0001171283,0.0003386774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003003809,0.0001852232,0.000004275743,0.007083576,0.0007729202,0.00009026412,0.00007123767,0.000001073311,0.003511895,0.0008874999,0.002802283,0.9842893],"study_design_scores_gemma":[0.0004964232,0.002063702,0.00004865585,0.0001840196,0.0003116833,0.0001679136,0.00007181258,0.0000140885,0.00007717485,0.00006720958,0.995827,0.0006703419],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003788198,0.9922523,0.00004724733,0.0008670292,0.0004841243,0.001825481,0.00009396348,0.00007178599,0.0005699031],"genre_scores_gemma":[0.0003028922,0.9970764,0.0001432382,0.0002909918,0.001244462,0.0003912588,0.0001536975,0.0002394364,0.0001576421],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9930247,"threshold_uncertainty_score":0.999448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02394238792703559,"score_gpt":0.3062178187411442,"score_spread":0.2822754308141087,"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."}}