{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001575036,0.0001589239,0.0001547816,0.00004177665,0.0005727909,0.0001596461,0.0007349069,0.0001882299,0.00007628548],"category_scores_gemma":[0.0008468334,0.0001160095,0.0001674057,0.0007484454,0.0003664358,0.000008038555,0.0008882327,0.0004444354,0.000139487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000533809,"about_ca_system_score_gemma":0.0002942173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004618052,"about_ca_topic_score_gemma":0.000004211307,"domain_scores_codex":[0.9973946,0.000209066,0.0003094175,0.0003613775,0.0009363902,0.0007892099],"domain_scores_gemma":[0.9983102,0.00007484197,0.00003465539,0.0004395819,0.0006209558,0.0005197736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001788768,0.0000529909,0.0007117166,0.000163525,0.0002189734,0.000004834261,0.005479153,0.01622057,0.9031903,0.00005724058,0.07238555,0.001336231],"study_design_scores_gemma":[0.001340944,0.001200734,0.001068424,0.00004535002,0.0000330041,0.000008888497,0.003824083,0.3368433,0.140746,0.0002429289,0.5139738,0.0006724291],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9328014,0.0004686567,0.04629632,0.01872738,0.000168627,0.0009876421,0.00006654352,0.00004119923,0.0004422691],"genre_scores_gemma":[0.9851985,0.0004112721,0.00215399,0.01009202,0.001587745,0.000009706821,0.000134156,0.00004089129,0.0003716962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7624443,"threshold_uncertainty_score":0.473073,"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."}}