{"id":"W3056229575","doi":"10.1097/aln.0000000000003524","title":"RNA Sequencing","year":2020,"lang":"en","type":"letter","venue":"Anesthesiology","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; Computational biology; RNA; 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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0001128058,0.000395817,0.0004312759,0.0001046137,0.00009231368,0.00002630925,0.0006623736,0.001801297,0.0001600523],"category_scores_gemma":[0.0001773555,0.0004001281,0.0002494939,0.0001298861,0.0001700009,0.000001562082,0.0002570684,0.001595898,0.000384044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007511502,"about_ca_system_score_gemma":0.0005332566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005456242,"about_ca_topic_score_gemma":0.000006391517,"domain_scores_codex":[0.9974997,0.0003237127,0.0002936926,0.0009470196,0.0002551282,0.0006807156],"domain_scores_gemma":[0.9988539,0.00003275934,0.000139878,0.0007592636,0.0001065641,0.0001076481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003514145,0.000003425464,0.000003607434,0.00004865719,0.00008659963,0.001712307,0.00001415733,0.00001542949,0.2239605,0.000009856532,0.7733918,0.0007184627],"study_design_scores_gemma":[0.0002061765,0.0006153774,0.000006342086,0.00001900115,0.00003347853,0.0003336082,0.00001017921,0.00002198548,0.09706407,0.0002551541,0.9010469,0.0003877439],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0176564,0.007318967,0.004653523,0.9589487,0.00144577,0.00165111,0.0001060824,0.0002559129,0.007963559],"genre_scores_gemma":[0.01231601,0.0005846628,0.0004671623,0.9752763,0.006459628,0.00009681565,0.001814428,0.0001812961,0.002803699],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.127655,"threshold_uncertainty_score":0.9998451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02334313154245784,"score_gpt":0.26144026715429,"score_spread":0.2380971356118322,"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."}}