{"id":"W6986731599","doi":"","title":"Rôle de l'acétylation 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003588519,0.0006121534,0.0004608861,0.0002615716,0.0006745958,0.0009777476,0.0003600583,0.0006690941,0.01092806],"category_scores_gemma":[0.000287591,0.0002946614,0.001370846,0.0001727046,0.0005416863,0.000674581,0.0004319262,0.001529196,0.002567997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008905046,"about_ca_system_score_gemma":0.0004782024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001751835,"about_ca_topic_score_gemma":0.001933977,"domain_scores_codex":[0.9995885,0.000037404,0.00001899165,0.0001406037,0.0001132831,0.0001011452],"domain_scores_gemma":[0.9997552,0.00004848448,0.00005351507,0.00005039295,0.00006306074,0.00002930712],"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":[0.0001347372,0.00002611842,0.0005206138,0.0001134925,0.00001601058,0.00007231307,0.00004624069,0.0001061046,0.9909301,0.000922624,0.0002879046,0.006823577],"study_design_scores_gemma":[0.00002009732,0.0002433025,0.006348266,0.00002886577,0.0000286779,0.0003713885,0.00009777409,0.0005775264,0.961722,0.0004651468,0.03007794,0.00001908604],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8780729,0.02355985,0.05516503,0.001660894,0.001338376,0.0001682325,0.00272068,0.00140638,0.03590775],"genre_scores_gemma":[0.9467648,0.006629709,0.01296822,0.0007079199,0.0001542683,0.0001555809,0.002580217,0.0002185546,0.02982065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01092806,"threshold_uncertainty_score":0.03655803,"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."}}