{"id":"W2064078544","doi":"10.3389/fgene.2012.00123","title":"Making Your Genbank Entry Count","year":2012,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"Banana Cultivation and Research","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Killam Trusts","keywords":"GenBank; Computer science; Biology; Computational biology; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001878801,0.00006669241,0.00008009841,0.00001480207,0.00007480566,0.0000252111,0.0001543898,0.00007849668,0.0002198415],"category_scores_gemma":[0.00001984165,0.00002609133,0.00003066995,0.0002270443,0.00003697792,0.00004483975,0.0000476092,0.0001029151,0.00002959136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000039468,"about_ca_system_score_gemma":0.000005145557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001452936,"about_ca_topic_score_gemma":0.00002417825,"domain_scores_codex":[0.9992185,0.00004452665,0.000116141,0.0001072224,0.0001821495,0.0003315225],"domain_scores_gemma":[0.9998246,0.00001537104,0.00002729624,0.0000373109,0.00002564224,0.00006972612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007693857,0.00006416148,0.7933533,0.000003758467,0.00000614769,0.00000121707,0.0001782534,0.00001581856,0.006553763,0.0000732692,0.02285203,0.1768906],"study_design_scores_gemma":[0.00007744297,0.00002089414,0.7293738,0.000008004552,0.000002286576,0.000001317199,0.0005940204,0.0003970651,0.0007930472,0.00008726225,0.2685455,0.00009935079],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881592,0.003966173,0.0001612809,0.0006547552,0.0008741945,0.0001436377,0.000009461979,0.00002328265,0.006007994],"genre_scores_gemma":[0.9948505,0.0004051491,0.003144455,0.0002157864,0.0003858562,0.000006332503,0.00001355929,7.902277e-7,0.0009775473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2456935,"threshold_uncertainty_score":0.240711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07686820013043368,"score_gpt":0.2986978206990759,"score_spread":0.2218296205686422,"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."}}