{"id":"W7095796882","doi":"","title":"PAR LES FACTEURS DE TRANSCRIPTION GATA","year":2015,"lang":"en","type":"article","venue":"","topic":"Nutrition, Health, and Society Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transcription (linguistics); Transcription factor; Mutation; Expression (computer science)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007394658,0.0005887524,0.0006349715,0.0005362076,0.0008553137,0.001758259,0.0006145071,0.001179341,0.01555692],"category_scores_gemma":[0.002088624,0.0005158097,0.0007604503,0.0004205558,0.001015832,0.001190077,0.0008249198,0.002632027,0.006009805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001074552,"about_ca_system_score_gemma":0.0005195455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002924516,"about_ca_topic_score_gemma":0.003643886,"domain_scores_codex":[0.9985253,0.0001951995,0.00007719213,0.0007465478,0.0003159567,0.0001399325],"domain_scores_gemma":[0.9988752,0.0005005093,0.0001283234,0.0001972485,0.0001649221,0.0001337636],"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":[0.001057473,0.00005572979,0.01606839,0.0004975615,0.0001390507,0.0008873038,0.001177836,0.000516759,0.8845534,0.03065871,0.009043288,0.05534457],"study_design_scores_gemma":[0.0001620709,0.0004232272,0.07078714,0.0003404942,0.0001813236,0.00504837,0.001366048,0.002990458,0.4656071,0.02217847,0.4308079,0.0001074176],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6077998,0.1104697,0.1070936,0.02254927,0.01114854,0.0001894583,0.01818141,0.003375273,0.1191929],"genre_scores_gemma":[0.8718488,0.009880329,0.02120832,0.004189222,0.00125466,0.0001385236,0.01005931,0.0005655959,0.08085517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01555692,"threshold_uncertainty_score":0.05204314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09153135799818013,"score_gpt":0.2601244251550449,"score_spread":0.1685930671568648,"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."}}