{"id":"W4396747732","doi":"10.21203/rs.3.rs-4357108/v1","title":"Visualization of Bipartite Graphs in Limited Window Size","year":2024,"lang":"en","type":"preprint","venue":"Research Square","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Bipartite graph; Window (computing); Visualization; Computer science; Graph drawing; Combinatorics; Mathematics; Theoretical computer science; Artificial intelligence; Graph; World Wide Web","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":[0.0005917216,0.0006807197,0.0004918801,0.002150191,0.0004860184,0.001882848,0.0005491449,0.0005983405,0.01290807],"category_scores_gemma":[0.003056112,0.0003554671,0.0004883252,0.001936095,0.0002458174,0.001428072,0.001123465,0.001075823,0.0009262763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003698676,"about_ca_system_score_gemma":0.0007388734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003927003,"about_ca_topic_score_gemma":0.004007713,"domain_scores_codex":[0.9997898,0.00006210262,0.00001158228,0.00003900236,0.00004395729,0.0000536351],"domain_scores_gemma":[0.9977133,0.00116668,0.0001568442,0.0002376282,0.0004037853,0.0003217096],"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":[0.006092353,0.0008303766,0.0200396,0.002984317,0.0005333384,0.002787671,0.005348779,0.1822737,0.177401,0.1054818,0.1691832,0.3270437],"study_design_scores_gemma":[0.0002732724,0.0001845131,0.0154932,0.0003541241,0.0001516918,0.0006495375,0.001449772,0.8232915,0.03496609,0.08472108,0.0383287,0.0001364511],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3627302,0.001619055,0.5608103,0.003500115,0.0006141397,0.0002317857,0.01438564,0.03399463,0.02211411],"genre_scores_gemma":[0.7636935,0.001178804,0.2202323,0.0002520949,0.000135354,0.000222798,0.005667828,0.002747128,0.00587019],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01290807,"threshold_uncertainty_score":0.04318178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07999955568712017,"score_gpt":0.4327234438767124,"score_spread":0.3527238881895922,"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."}}