{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001114875,0.001777176,0.0009887476,0.004237519,0.001020832,0.001482949,0.003050012,0.001384953,0.02549245],"category_scores_gemma":[0.004017841,0.001105618,0.0008928444,0.002434209,0.0005370202,0.001806089,0.001817026,0.00237386,0.0131333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005242249,"about_ca_system_score_gemma":0.001861623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00503043,"about_ca_topic_score_gemma":0.007199982,"domain_scores_codex":[0.9992678,0.0001292289,0.00004422364,0.0001197377,0.0003817077,0.00005744],"domain_scores_gemma":[0.9985037,0.0007927354,0.0001141397,0.0001797822,0.0002057435,0.0002039332],"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":[0.0005760497,0.0001853846,0.001791697,0.002742357,0.0003717994,0.001194944,0.0003991991,0.007578167,0.04645104,0.01030205,0.7293798,0.1990275],"study_design_scores_gemma":[0.0007479584,0.0001338287,0.00701101,0.0004091421,0.0002522686,0.002457686,0.000115454,0.1072834,0.08526935,0.05244425,0.7434424,0.0004333184],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.007329945,0.001796624,0.3939988,0.001355423,0.0006094572,0.0006608508,0.04920349,0.5361054,0.008940049],"genre_scores_gemma":[0.06993246,0.003445073,0.7367029,0.001711046,0.0004464488,0.004443821,0.1030096,0.06051368,0.01979498],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.02549245,"threshold_uncertainty_score":0.08528078,"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."}}