{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003781568,0.0008347959,0.0008117034,0.001284244,0.003644885,0.002464049,0.001350224,0.008466285,0.02942096],"category_scores_gemma":[0.008242839,0.0008782646,0.001067526,0.0005575911,0.001659845,0.001095693,0.001256743,0.01208661,0.02633806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001420741,"about_ca_system_score_gemma":0.002366704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001993587,"about_ca_topic_score_gemma":0.009451469,"domain_scores_codex":[0.9972104,0.0009629223,0.0001746324,0.000486255,0.0008349682,0.0003307528],"domain_scores_gemma":[0.9962191,0.001606796,0.00009857702,0.0007579502,0.000704121,0.0006134674],"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":[0.0005354252,0.0001261106,0.0009909922,0.000233074,0.00006605092,0.001391123,0.00023427,0.0003965865,0.02705598,0.01667913,0.8811778,0.07111342],"study_design_scores_gemma":[0.00006345994,0.00007738229,0.0005211532,0.0000817585,0.00001976619,0.0006434717,0.00006742668,0.000845501,0.009627008,0.01309237,0.974936,0.00002475793],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.007861567,0.01317058,0.0878982,0.4507266,0.1602162,0.001313005,0.005388046,0.003444548,0.2699812],"genre_scores_gemma":[0.03176966,0.004833757,0.05283372,0.5328276,0.02284909,0.001562166,0.005668926,0.001362398,0.3462928],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02942096,"threshold_uncertainty_score":0.09842294,"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."}}