{"id":"W2738019036","doi":"10.1038/nature22293","title":"Can we predict protein from mRNA levels?","year":2017,"lang":"en","type":"article","venue":"Nature","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":240,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"","keywords":"Messenger RNA; Computational biology; Chemistry; 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":[],"consensus_categories":[],"category_scores_codex":[0.0000996442,0.0001382156,0.0001134574,0.0000135005,0.0002309208,0.00007962485,0.0005262435,0.001241719,0.0001016168],"category_scores_gemma":[0.000264268,0.0001174856,0.00007498691,0.00001233273,0.00004464664,0.000003791343,0.0001363803,0.0004791877,0.00001874194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007231267,"about_ca_system_score_gemma":0.00005600401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006081884,"about_ca_topic_score_gemma":0.0001019333,"domain_scores_codex":[0.9992176,0.00003531862,0.00009285167,0.0003192313,0.0001493285,0.0001857104],"domain_scores_gemma":[0.9989195,0.000004386387,0.0001443614,0.0008107972,0.00004516788,0.00007573565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000379422,0.0000139583,0.000365029,0.000006663141,0.00003678657,0.000007408668,0.00001648002,2.83192e-7,0.9836658,0.0002257582,0.002282202,0.01334164],"study_design_scores_gemma":[0.0002658238,0.00006973895,0.00392094,0.00004079946,0.000009863355,0.00000235059,0.00001041608,0.000003493447,0.8997237,0.003741165,0.09206031,0.0001513745],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985134,0.00303666,0.0002211118,0.005565558,0.0004898302,0.0003878782,0.0002946683,0.00002461989,0.004845639],"genre_scores_gemma":[0.9930283,0.00006161742,0.001655087,0.0003678839,0.0007462055,0.00003681724,0.00005390529,0.0000224796,0.004027679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0897781,"threshold_uncertainty_score":0.9577274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01187762727751305,"score_gpt":0.2518960804738288,"score_spread":0.2400184531963157,"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."}}