{"id":"W177627685","doi":"10.4137/gegg.s0","title":"Introductory Editorial (Gene Expression to Genetical Genomics)","year":2008,"lang":"en","type":"article","venue":"Gene Expression to Genetical Genomics","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Genomics; Genetics; Biology; Gene; Computational biology; Functional genomics; Expression (computer science); Genome; 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":[0.003193394,0.00268548,0.002177017,0.002565582,0.001892437,0.004176316,0.001842553,0.00713852,0.03569736],"category_scores_gemma":[0.01195576,0.0007106473,0.002159941,0.0009133462,0.001774089,0.002575683,0.001050706,0.01016083,0.02550133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002215008,"about_ca_system_score_gemma":0.001726282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001141678,"about_ca_topic_score_gemma":0.002171791,"domain_scores_codex":[0.9978998,0.0003428283,0.0001922581,0.0003254959,0.001068082,0.0001715261],"domain_scores_gemma":[0.9896185,0.00320267,0.0005474776,0.0002758899,0.004266317,0.002089136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002455729,0.000006906603,0.000008979219,0.00007660878,0.000004275283,0.00006570587,0.000004080644,0.00001514914,0.00007061072,0.0001708051,0.9964855,0.003066815],"study_design_scores_gemma":[0.00004270309,0.00003861544,0.0002511955,0.0001911638,0.00001795647,0.0003049026,0.00001714105,0.00006541825,0.0001155385,0.0009679441,0.9979766,0.00001088121],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00004161289,0.003562638,0.0001381525,0.02004995,0.972886,0.00002488946,0.00004801596,0.00005647458,0.00319229],"genre_scores_gemma":[0.000469412,0.003556105,0.0001376825,0.02045177,0.9537535,0.00003339838,0.00005969676,0.00005944532,0.021479],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.03569736,"threshold_uncertainty_score":0.1194196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01422179583285843,"score_gpt":0.2654452539109053,"score_spread":0.2512234580780469,"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."}}