{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001598231,0.00005107567,0.00006810376,0.000001621639,0.0002073208,0.00001817723,0.00006315439,0.00005081655,0.00009039061],"category_scores_gemma":[0.0000157707,0.00001667041,0.00004484061,0.00007335011,0.00003945873,0.00006169233,0.000006408111,0.0000448704,0.00001946939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002004754,"about_ca_system_score_gemma":0.000005159241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00132553,"about_ca_topic_score_gemma":0.001998012,"domain_scores_codex":[0.9995387,0.00003841694,0.00007644502,0.00009821539,0.00009198188,0.0001562734],"domain_scores_gemma":[0.9997929,0.00003215829,0.00001369632,0.00001565789,0.00004913375,0.00009646586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006499407,0.0004162642,0.4133442,0.00004363799,0.00003794736,0.000003637051,0.004764173,0.000002768359,0.1571692,0.003656118,0.309052,0.1114451],"study_design_scores_gemma":[0.0002536675,0.0002678524,0.7188027,0.000009611432,0.000009042349,0.000003764966,0.0104894,0.00001876226,0.001996933,0.005860189,0.262123,0.0001650612],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871823,0.0003641288,0.00002374476,0.008735899,0.00006879966,0.00006893915,0.00001260795,0.00007601517,0.003467548],"genre_scores_gemma":[0.9978157,0.0006632641,0.0001687027,0.0005509017,0.000185164,0.00000626154,0.00002042288,2.288371e-7,0.0005893941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3054585,"threshold_uncertainty_score":0.2003814,"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."}}