{"id":"W3119502370","doi":"10.3390/genes12010085","title":"Circulating miR-206 as a Biomarker for Patients Affected by Severe Limb Girdle Muscle Dystrophies","year":2021,"lang":"en","type":"article","venue":"Genes","topic":"Muscle Physiology and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Advanced Foods and Materials Canada","keywords":"Medicine; Atrophy; Biomarker; Muscle atrophy; Skeletal muscle; Disease; Muscle weakness; Internal medicine; Limb-girdle muscular dystrophy; Myopathy; Weakness; Pathology; Phenotype; Cohort; Biology; Anatomy; Gene; Genetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002597946,0.0003344973,0.0003208802,0.0007427354,0.0002707103,0.000413758,0.0001352839,0.0005606942,0.0008980237],"category_scores_gemma":[0.0008174264,0.0001494251,0.0001539653,0.0003655023,0.0001845998,0.000216405,0.0001980541,0.0003416557,0.0002468167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001082365,"about_ca_system_score_gemma":0.000083147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002176307,"about_ca_topic_score_gemma":0.0002805368,"domain_scores_codex":[0.9998139,0.00005361752,0.00002960564,0.00004696869,0.00003488566,0.00002106057],"domain_scores_gemma":[0.9996425,0.0001107941,0.0001208161,0.00001720607,0.00004352852,0.00006513387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001410429,0.0001105106,0.9465863,0.000053882,0.00005100764,0.001437296,0.000180078,0.0001553166,0.04340216,0.00006027343,0.0002559661,0.006296886],"study_design_scores_gemma":[0.00002262304,0.000758186,0.9833799,0.00001980256,0.00007314335,0.006080808,0.0002016671,0.001285735,0.007339312,0.00009535288,0.0007311953,0.00001241541],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985946,0.0004927501,0.0002837613,0.0000416862,0.00001161447,0.000008293537,0.0001352534,0.00001691696,0.0004150732],"genre_scores_gemma":[0.9986942,0.0001044345,0.0006355036,0.00004484456,0.00001661521,0.00001137806,0.0001855542,0.000003669807,0.0003037255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008980237,"threshold_uncertainty_score":0.003004193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007785018291822127,"score_gpt":0.2383327737066395,"score_spread":0.2305477554148174,"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."}}