{"id":"W2788911868","doi":"10.1089/adt.2017.828","title":"Research in Rare Disease: From Genomics to Proteomics","year":2018,"lang":"en","type":"review","venue":"Assay and Drug Development Technologies","topic":"RNA modifications and cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Informatics; Genomics; Proteomics; Computational biology; Data science; Disease; Library science; Computer science; Biology; Medicine; Political science; Genome; Genetics; Pathology; Gene","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000612593,0.0002586039,0.0004078396,0.0002969597,0.0001472431,0.00006498407,0.000561952,0.0003845513,0.000003558881],"category_scores_gemma":[0.0001406691,0.0002171259,0.00005593829,0.0003454392,0.0001743916,0.000003609499,0.0007817338,0.0002905162,0.0000467505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001237189,"about_ca_system_score_gemma":0.0007178906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001421362,"about_ca_topic_score_gemma":0.00007349726,"domain_scores_codex":[0.9983592,0.0001004732,0.0003525109,0.0007073889,0.0001482673,0.0003321448],"domain_scores_gemma":[0.9991206,0.00003729238,0.00008294336,0.0006163573,0.00007929173,0.00006351381],"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":[0.0000134952,0.00003026349,0.00007390203,0.0005884806,0.00005168765,0.000006155968,0.00004673604,4.319412e-7,0.00005647451,0.00008263763,0.004505588,0.9945441],"study_design_scores_gemma":[0.00006880087,0.00001489743,0.00006762903,0.001365708,0.00001548606,0.000001248249,0.0002160476,5.969311e-7,0.001001403,0.0003169537,0.9966348,0.00029644],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003895479,0.9942773,0.000225353,0.0002678642,0.0000742929,0.0009565952,0.00006953287,0.00005951073,0.000174068],"genre_scores_gemma":[0.0008512416,0.9885837,0.008248289,0.00001840679,0.00006752727,0.001172413,0.0003675808,0.00003197393,0.000658801],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9942477,"threshold_uncertainty_score":0.8854138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06291338950975106,"score_gpt":0.3555528739553214,"score_spread":0.2926394844455703,"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."}}