{"id":"W4405063828","doi":"10.1016/j.molcel.2024.11.005","title":"Silent silencers: Leave no trace","year":2024,"lang":"en","type":"letter","venue":"Molecular Cell","topic":"Music History and Culture","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Biology; TRACE (psycholinguistics); Genetics; Computational biology; Linguistics","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00006452172,0.0003932671,0.0002979027,0.00008274942,0.0001895562,0.0002842008,0.0003282184,0.0004417777,0.0338902],"category_scores_gemma":[0.000004708952,0.0003337384,0.0003774798,0.00002550609,0.0001793761,0.00005676169,0.00005030782,0.001716063,0.01382265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009297495,"about_ca_system_score_gemma":0.00006707069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005563969,"about_ca_topic_score_gemma":0.00003841577,"domain_scores_codex":[0.9984157,0.00007525536,0.0002347166,0.0005296074,0.0003852513,0.0003594772],"domain_scores_gemma":[0.9993309,0.00001513165,0.0000861611,0.000431781,0.00008487793,0.00005119599],"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":[0.000002492047,0.00001969861,1.616379e-8,0.0006163644,0.00004820156,0.002484243,0.01470918,0.00000156046,0.0002928917,0.001760772,0.9798881,0.0001765146],"study_design_scores_gemma":[0.00007784205,0.000057697,9.297233e-9,0.0001372406,0.0001554332,0.000003739222,0.0003791992,0.000008550053,0.0003122767,0.0003305584,0.9980899,0.0004475611],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00008416067,0.007300185,0.00001651208,0.06966238,0.004880142,0.0002595826,0.0001515298,0.0001745685,0.9174709],"genre_scores_gemma":[0.0007267174,0.00001342815,0.00001778009,0.4273225,0.008577331,0.0000393294,0.0002372276,0.00008181404,0.5629839],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3576601,"threshold_uncertainty_score":0.9999115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01526140101720258,"score_gpt":0.1843523233461382,"score_spread":0.1690909223289356,"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."}}