{"id":"W2167846577","doi":"10.1093/bioinformatics/btl356","title":"GenePro: a cytoscape plug-in for advanced visualization and analysis of interaction networks","year":2006,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Hospital for Sick Children","funders":"Canadian Institutes of Health Research; Hospital for Sick Children","keywords":"Plug-in; Computer science; Visualization; Parsing; Software; Set (abstract data type); Domain (mathematical analysis); Software engineering; Data science; Data mining; Programming language","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001690134,0.0001076474,0.0001934134,0.0001561483,0.00003281288,0.00002101842,0.00006675829,0.0001273512,0.000002539092],"category_scores_gemma":[0.00001598523,0.0001042343,0.00008411604,0.0002626854,0.00003128546,0.00001399355,0.00004172252,0.000034552,2.78375e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001271409,"about_ca_system_score_gemma":0.00001717547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000117698,"about_ca_topic_score_gemma":0.0001209965,"domain_scores_codex":[0.9991843,0.000008593574,0.0004927367,0.00009666997,0.00006036961,0.0001573389],"domain_scores_gemma":[0.9994851,0.00001803784,0.000243307,0.0001616886,0.00006514774,0.00002669015],"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":[0.001292594,0.0004661574,0.06566333,0.0009433727,0.001767743,9.046275e-7,0.001315595,0.7327884,0.03033676,0.01734887,0.005030746,0.1430455],"study_design_scores_gemma":[0.0006275453,0.0001227775,0.004699604,0.0000148438,0.0001295062,0.000001579064,0.0001478761,0.9882752,0.002695851,0.00008502607,0.003056839,0.0001433289],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4544365,0.0003398822,0.5440535,0.00001075816,0.00009307112,0.000328145,0.00003633631,0.000007743691,0.0006940538],"genre_scores_gemma":[0.9871566,0.0001720255,0.01142159,0.00008222913,0.0000611643,0.00002351549,0.001009968,0.00001020471,0.0000627314],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5327201,"threshold_uncertainty_score":0.4250552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006255042208858774,"score_gpt":0.2517326425909427,"score_spread":0.2454776003820839,"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."}}