{"id":"W6986731599","doi":"","title":"RÃ´le de l'acÃ©tylation du facteur de transcription IRF3","year":2012,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transcription factor; Transcription (linguistics); Interferon; Activating transcription factor; General transcription factor","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00002773327,0.0002995248,0.0002521722,0.0000231504,0.0001411221,0.00002443323,0.0002286929,0.0001683142,0.0003887549],"category_scores_gemma":[0.00000951944,0.000324504,0.00005714421,0.00003669065,0.0001006592,0.00003208546,0.00009183801,0.0002338085,1.972162e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001668591,"about_ca_system_score_gemma":0.002158843,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004524307,"about_ca_topic_score_gemma":0.02736289,"domain_scores_codex":[0.9982447,0.0001555413,0.000323323,0.0002133387,0.0006185691,0.0004445125],"domain_scores_gemma":[0.9991162,0.00005310784,0.0002848978,0.0002297978,7.957711e-7,0.0003151302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008095393,0.0001760396,0.1665012,0.002588207,0.000651833,0.00004120055,0.0008178123,0.001406603,0.5909013,0.1320761,0.01530961,0.08872056],"study_design_scores_gemma":[0.0004319905,0.0001017244,0.04320074,0.000147668,0.0000632853,0.00002917087,0.0006391273,0.004580591,0.1056939,0.0001650387,0.8445419,0.0004048359],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05654105,0.002292937,0.00685463,0.00443888,0.0004676949,0.0002972103,0.0004164741,0.00001081544,0.9286803],"genre_scores_gemma":[0.7887276,0.0009874552,0.0055994,0.001403901,0.0004055307,0.000008395295,0.0001537754,0.0000933404,0.2026206],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8292323,"threshold_uncertainty_score":0.9999207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.001835647792934534,"score_gpt":0.1372455022153827,"score_spread":0.1354098544224482,"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."}}