{"id":"W7022524953","doi":"","title":"Notes","year":2018,"lang":"fr","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subject (documents); Volume (thermodynamics); Relation (database); Work (physics)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001855639,0.0003844889,0.0003159728,0.0037429,0.0002930794,0.00005194024,0.0005637402,0.0004912081,0.0002453062],"category_scores_gemma":[0.00007249131,0.0004751832,0.0003711158,0.006153544,0.0006199669,0.00002249492,0.0004833411,0.000184181,0.0002650161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001535443,"about_ca_system_score_gemma":0.0006434938,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01734496,"about_ca_topic_score_gemma":0.02931509,"domain_scores_codex":[0.9978096,0.0002787003,0.0002109256,0.0008077381,0.0002046922,0.000688353],"domain_scores_gemma":[0.9984174,0.00002983583,0.0001646262,0.0008520179,0.0003478227,0.0001882675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002447698,0.003234517,0.02821415,0.0008304184,0.009806366,0.001367196,0.009492361,0.00100314,0.02099381,0.01839917,0.0593915,0.8448197],"study_design_scores_gemma":[0.0007138304,0.000526578,0.000154981,0.00004725172,0.0004430186,0.00002860075,0.0002287673,0.000480702,0.0286724,0.000001051932,0.968192,0.0005108147],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3295321,0.0002752581,0.005486334,0.001517199,0.001570308,0.0005339805,0.0001029085,0.00009057164,0.6608913],"genre_scores_gemma":[0.8199142,0.1744258,0.001861561,0.0002307718,0.001941538,0.00000105953,0.00009377981,0.00005642385,0.001474911],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9088005,"threshold_uncertainty_score":0.99977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01397456011971227,"score_gpt":0.2222003230691632,"score_spread":0.2082257629494509,"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."}}