{"id":"W250299537","doi":"","title":"Genome Organization and Gene Expression. Chapter 2","year":2010,"lang":"en","type":"article","venue":"Sound Ideas (University of Puget Sound)","topic":"Animal Genetics and Reproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gene; Genome; Biology; Genetics; Expression (computer science); Computational biology; Gene expression; Evolutionary biology; Computer science","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":[0.0001887449,0.0008968133,0.001047508,0.001278206,0.000442643,0.001941958,0.001105291,0.0006769761,0.06397574],"category_scores_gemma":[0.0003281251,0.0005086932,0.0006546769,0.002232784,0.0002650339,0.0007867212,0.0005205599,0.001491245,0.0630982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005599668,"about_ca_system_score_gemma":0.0006645616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002573438,"about_ca_topic_score_gemma":0.003509999,"domain_scores_codex":[0.9998168,0.00001333011,0.00001063382,0.00007486795,0.00006748403,0.0000169117],"domain_scores_gemma":[0.9998729,0.00002080045,0.00002190338,0.00002906817,0.00003667796,0.00001856612],"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":[0.000211168,0.00005939046,0.0009337386,0.002668991,0.00007352693,0.0002664535,0.000206155,0.0005273834,0.1207097,0.0188961,0.5247833,0.3306641],"study_design_scores_gemma":[0.000005622471,0.00001590907,0.002977273,0.0001210434,0.00001892811,0.0002190526,0.00002845806,0.0001222217,0.004987411,0.003905638,0.9875848,0.00001371548],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.008460063,0.1837687,0.09725408,0.004761102,0.008011144,0.000378015,0.4172238,0.01126923,0.2688739],"genre_scores_gemma":[0.02779078,0.07119672,0.04967275,0.002260317,0.0009986114,0.0006529898,0.4580215,0.003124473,0.3862819],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06397574,"threshold_uncertainty_score":0.2140202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00515632749884365,"score_gpt":0.1817462904897895,"score_spread":0.1765899629909459,"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."}}