{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002287513,0.0009421688,0.001618194,0.002950579,0.000383847,0.001767975,0.001263602,0.002503738,0.002861251],"category_scores_gemma":[0.00356895,0.0003168345,0.0008646152,0.001864647,0.001353344,0.003532304,0.0009095598,0.004068824,0.001622626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009513003,"about_ca_system_score_gemma":0.00162553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001041131,"about_ca_topic_score_gemma":0.001352872,"domain_scores_codex":[0.9993,0.0001689075,0.0001296712,0.0001187142,0.0002303154,0.00005237212],"domain_scores_gemma":[0.99676,0.002170719,0.0002092553,0.00007255884,0.0006774276,0.0001101128],"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":[0.00009153469,0.00008688094,0.0005772643,0.01291827,0.0001097369,0.0005650381,0.000140728,0.0004618885,0.001655191,0.01226703,0.04695346,0.9241729],"study_design_scores_gemma":[0.00001514187,0.00009938057,0.001088517,0.006844059,0.0001380914,0.003631451,0.0001652661,0.0002095794,0.0006198788,0.01044752,0.9767035,0.00003776452],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006881113,0.9971522,0.0002165597,0.001720379,0.000409496,0.000002396185,0.00001096904,0.00000864499,0.0004105089],"genre_scores_gemma":[0.0008547876,0.9963644,0.0004524941,0.00101606,0.0009205031,0.00000666042,0.00002772281,0.000003043587,0.0003543975],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002950579,"threshold_uncertainty_score":0.01209766,"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."}}