{"id":"W4206516340","doi":"10.1007/978-1-0716-2067-0_16","title":"Visualization Tools for Genomic Conservation","year":2022,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada; Global Institute for Water Security; University of Saskatchewan","funders":"","keywords":"Visualization; Computer science; Synteny; Snapshot (computer storage); Visual analytics; Data mining; Genome; Biology; Database","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0009082431,0.0001191735,0.0001655226,0.00007479981,0.000124099,0.00001121388,0.0001848138,0.00008387212,0.00001539652],"category_scores_gemma":[0.0003225245,0.0001348581,0.00008253935,0.0001136757,0.00005198274,4.955348e-7,0.0002576626,0.00006107317,4.854381e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003069506,"about_ca_system_score_gemma":0.00005624887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000166198,"about_ca_topic_score_gemma":0.000009448418,"domain_scores_codex":[0.9985718,0.0005689312,0.0002419831,0.0003609372,0.00003656319,0.0002197937],"domain_scores_gemma":[0.9995313,0.00008295698,0.00008846915,0.0002271163,0.00004717544,0.00002297499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006424169,0.00003025295,0.002792158,0.000006007249,0.00003503097,6.672161e-7,0.00004000367,0.0006776769,0.9815102,0.006536788,0.0001294562,0.008177517],"study_design_scores_gemma":[0.001395724,0.001031123,0.003899107,0.00000187208,0.00002839505,0.00001659021,0.0002395704,0.001347524,0.5662144,0.01491094,0.4104994,0.0004153861],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3390227,0.001206758,0.6587573,0.0001642264,0.0002557174,0.0003625442,0.00004247327,0.000003240831,0.0001850325],"genre_scores_gemma":[0.3061927,0.0001358088,0.6892136,0.00268339,0.0001087736,0.0009124893,0.0005415972,0.00004682398,0.0001648875],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4152958,"threshold_uncertainty_score":0.5499355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04064117009068109,"score_gpt":0.3937467802128368,"score_spread":0.3531056101221557,"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."}}