{"id":"W2884593100","doi":"10.1016/s0924-9338(15)31868-x","title":"Let-7, MiR-98 and MiR-181 as Biomarkers for Cancer and Schizophrenia","year":2015,"lang":"en","type":"article","venue":"European Psychiatry","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital","funders":"","keywords":"microRNA; Schizophrenia (object-oriented programming); Cancer; Gene; Comorbidity; Oncology; Incidence (geometry); Medicine; Bioinformatics; Internal medicine; Psychiatry; Biology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001281379,0.0005136771,0.0004057383,0.002579161,0.0003772317,0.0008679376,0.0002899073,0.0005648699,0.001219974],"category_scores_gemma":[0.001510545,0.0002488068,0.0002826839,0.001018467,0.0004421966,0.0003700534,0.0004400409,0.0005023032,0.0002799597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004425839,"about_ca_system_score_gemma":0.0005980264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007522972,"about_ca_topic_score_gemma":0.001337762,"domain_scores_codex":[0.9994966,0.0002430735,0.00004516539,0.00006232967,0.0001122436,0.00004060791],"domain_scores_gemma":[0.9993667,0.0001816275,0.0002336774,0.00003090161,0.00008156358,0.0001055355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005961151,0.0003595734,0.6392565,0.001116783,0.0008398592,0.001603289,0.0005877236,0.0008700352,0.1423674,0.003296952,0.001773496,0.2019672],"study_design_scores_gemma":[0.0001076589,0.001866934,0.9280215,0.0002943449,0.0007131473,0.005767051,0.0009380785,0.005089339,0.03659467,0.004461936,0.01603681,0.0001084661],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9074181,0.08082429,0.004362113,0.0008184437,0.0002009351,0.00007489036,0.0005205724,0.0001091481,0.005671519],"genre_scores_gemma":[0.9830856,0.008612496,0.006265126,0.0001423897,0.000066623,0.00004907322,0.0002113734,0.000009838868,0.001557378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002579161,"threshold_uncertainty_score":0.00677669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01329757485049672,"score_gpt":0.265686710249939,"score_spread":0.2523891353994423,"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."}}