{"id":"W4409986716","doi":"10.1093/nar/gkaf365","title":"Cytoscape Web: bringing network biology to the browser","year":2025,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute of General Medical Sciences; National Cancer Institute; National Human Genome Research Institute; National Institutes of Health","keywords":"Computer science; World Wide Web; Biological network; Systems biology; Biology; Web application; Interface (matter); Visualization; Network analysis; Bioinformatics; Data mining","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":[0.00454331,0.001619415,0.001302224,0.005684929,0.001666021,0.005768376,0.004337171,0.002566668,0.05601788],"category_scores_gemma":[0.01603057,0.002065909,0.001527993,0.002844092,0.001121142,0.007622292,0.006786244,0.006569304,0.04382868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001135155,"about_ca_system_score_gemma":0.003906729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004547357,"about_ca_topic_score_gemma":0.007014788,"domain_scores_codex":[0.99727,0.0006383126,0.0002214769,0.0004882472,0.001188266,0.0001936578],"domain_scores_gemma":[0.9947286,0.0017753,0.0002735074,0.0009397672,0.001253521,0.001029246],"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":[0.0003414818,0.00014807,0.001420847,0.001477659,0.0002495809,0.0007813839,0.0007436447,0.00228549,0.02037178,0.04235254,0.7364289,0.1933986],"study_design_scores_gemma":[0.000112629,0.00003742946,0.0006535704,0.0003467455,0.00005961325,0.0005984866,0.0001232708,0.01214757,0.01047322,0.06333033,0.9119477,0.0001694727],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.002302007,0.003310845,0.566451,0.003203894,0.003105726,0.0005342453,0.02167016,0.3680903,0.03133185],"genre_scores_gemma":[0.02926015,0.006371719,0.7864093,0.005804554,0.001856594,0.002250697,0.05751145,0.07806879,0.03246669],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.05601788,"threshold_uncertainty_score":0.1873984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02050361692618576,"score_gpt":0.3247374723115586,"score_spread":0.3042338553853728,"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."}}