{"id":"W7063850540","doi":"","title":"AccuSyn: Using Simulated Annealing to Declutter Genome Visualizations","year":2019,"lang":"en","type":"dissertation","venue":"University Library (University of Saskatchewan)","topic":"Nuclear reactor physics and engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Synteny; Visualization; Genome; Simulated annealing; Comparative genomics; Genomic information; Data visualization; Representation (politics)","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":[0.002629941,0.001521143,0.0009387701,0.002211619,0.001216179,0.002798535,0.002463605,0.001698576,0.01430762],"category_scores_gemma":[0.007110459,0.0009835656,0.001684343,0.001368422,0.0009523206,0.001863092,0.002802547,0.002098179,0.002416974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001238875,"about_ca_system_score_gemma":0.001504642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006069546,"about_ca_topic_score_gemma":0.0109694,"domain_scores_codex":[0.9989785,0.0004637914,0.00005537894,0.0001753763,0.0002492103,0.0000777196],"domain_scores_gemma":[0.9970568,0.001898626,0.0001325838,0.0004200156,0.0003581121,0.000133831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001149894,0.0003060116,0.007539377,0.001723959,0.0005406396,0.001172622,0.004514078,0.2600307,0.04146345,0.1045667,0.1351918,0.4418009],"study_design_scores_gemma":[0.0001545575,0.00008198323,0.0009694651,0.0001816156,0.00005572577,0.0001902397,0.0002449048,0.8432714,0.01999844,0.04074831,0.09396967,0.0001337743],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0201593,0.0004122586,0.8904994,0.0007781363,0.0003704,0.0001931369,0.001738781,0.07762697,0.008221588],"genre_scores_gemma":[0.09002932,0.000309987,0.8893908,0.0003333013,0.00004745588,0.0005280128,0.002329579,0.01433417,0.002697458],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01430762,"threshold_uncertainty_score":0.04786372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0074605657921395,"score_gpt":0.1750586490775809,"score_spread":0.1675980832854414,"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."}}