{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001834428,0.002163091,0.001201586,0.005684807,0.001322104,0.003333966,0.002279324,0.001398299,0.06250615],"category_scores_gemma":[0.005219333,0.001194677,0.002131887,0.004134041,0.0005822994,0.004131223,0.003591785,0.002713144,0.01387515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006805657,"about_ca_system_score_gemma":0.001193405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002035988,"about_ca_topic_score_gemma":0.00218197,"domain_scores_codex":[0.9990746,0.0001967019,0.0001122563,0.0002010235,0.0002877676,0.0001276398],"domain_scores_gemma":[0.9974299,0.001135934,0.0001645116,0.0006935575,0.0003861765,0.0001898933],"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":[0.0007610637,0.0002417794,0.002264152,0.002142275,0.0003630034,0.001216508,0.001470548,0.005978839,0.05317042,0.1006072,0.3615192,0.470265],"study_design_scores_gemma":[0.0004154972,0.0001068993,0.003205081,0.0007625466,0.0002798999,0.002002595,0.0004968729,0.1109424,0.08304213,0.1765211,0.6219438,0.0002812125],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005758527,0.0007204096,0.7736099,0.0008991738,0.0002992896,0.0001849145,0.01522304,0.1930997,0.01020497],"genre_scores_gemma":[0.06569452,0.001309038,0.8518543,0.000462594,0.0001729305,0.0009722151,0.03593178,0.03475881,0.008843875],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.06250615,"threshold_uncertainty_score":0.2091039,"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."}}