{"id":"W3146488696","doi":"10.1109/visual.2002.1183781","title":"GeneVis: visualization tools for genetic regulatory network dynamics","year":2003,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Visualization; Computer science; Focus (optics); Process (computing); Data visualization; Genetic network; Information visualization; Human–computer interaction; Data science; Artificial intelligence; Biology; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001490107,0.002037347,0.001167398,0.002986117,0.0008403247,0.002644612,0.002869859,0.001765362,0.05572766],"category_scores_gemma":[0.006287119,0.001189023,0.00140137,0.00239447,0.0005757454,0.003457885,0.003119884,0.002878125,0.009606961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008005019,"about_ca_system_score_gemma":0.001078116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004061761,"about_ca_topic_score_gemma":0.003952337,"domain_scores_codex":[0.9993262,0.0001593757,0.00007107995,0.00007886418,0.0002941889,0.00007035168],"domain_scores_gemma":[0.9981207,0.001139359,0.00009966804,0.0001838575,0.0003083957,0.0001479383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007480518,0.0002402913,0.00184045,0.002101861,0.0002697003,0.001104069,0.001833265,0.03913629,0.02003901,0.06964514,0.567701,0.2953409],"study_design_scores_gemma":[0.0007216338,0.0001128807,0.001581077,0.0004748282,0.0001112258,0.0009115523,0.0003239675,0.3136887,0.02585653,0.1100851,0.5458623,0.000270254],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.003135264,0.0007657264,0.705951,0.0007346986,0.0002202587,0.000232628,0.01291213,0.2684984,0.007549914],"genre_scores_gemma":[0.06319663,0.002654157,0.8397381,0.000646802,0.000155977,0.002035976,0.03017734,0.04829894,0.01309609],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.05572766,"threshold_uncertainty_score":0.1864276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0255191214460969,"score_gpt":0.2929731793355913,"score_spread":0.2674540578894944,"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."}}