{"id":"W3037742920","doi":"","title":"Using Simulated Annealing to Declutter Genome Visualizations.","year":2020,"lang":"en","type":"article","venue":"The Florida AI Research Society","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada; University of Saskatchewan","funders":"","keywords":"Computer science; Visualization; Annealing (glass); Data visualization; Artificial intelligence; Materials science; Metallurgy","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":[0.003192838,0.00166842,0.00125124,0.001791424,0.001788721,0.003048443,0.002698807,0.001961355,0.02248521],"category_scores_gemma":[0.01103101,0.001346984,0.002019307,0.001483827,0.0008364043,0.001850054,0.00278227,0.002966851,0.003856959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001505901,"about_ca_system_score_gemma":0.001973986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008376709,"about_ca_topic_score_gemma":0.01828772,"domain_scores_codex":[0.9989958,0.0004236667,0.00005925829,0.0002116117,0.0002244121,0.00008519596],"domain_scores_gemma":[0.9966426,0.002186983,0.0001359565,0.0004592894,0.000440294,0.0001349845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001252053,0.000526947,0.006281639,0.001247695,0.0009959101,0.0005473935,0.00196008,0.4388731,0.03346707,0.07650781,0.07747162,0.3608688],"study_design_scores_gemma":[0.00009968857,0.00004362121,0.0003661664,0.0000472711,0.00005451273,0.00005384323,0.0001183332,0.9429132,0.006100816,0.03251586,0.01764697,0.0000397353],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02043755,0.0004560093,0.9310863,0.0006897391,0.000323623,0.000212209,0.001292535,0.03901822,0.006483743],"genre_scores_gemma":[0.09033527,0.0001902928,0.8953786,0.0002141585,0.00004510162,0.0004366946,0.001951335,0.00883559,0.00261293],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02248521,"threshold_uncertainty_score":0.07522047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1272386349514309,"score_gpt":0.4209875571021418,"score_spread":0.2937489221507109,"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."}}