{"id":"W2132034930","doi":"10.1093/bioinformatics/btm057","title":"Cerebral: a Cytoscape plugin for layout of and interaction with biological networks using subcellular localization annotation","year":2007,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":179,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Genome Prairie; Canada Research Chairs; Genome British Columbia; Michael Smith Health Research BC","keywords":"Plug-in; Annotation; Computer science; Java; Subcellular localization; Rendering (computer graphics); Software; Computational biology; Biological network; Function (biology); Artificial intelligence; Biology; Programming language; 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":[0.001098341,0.001925784,0.001078209,0.003355919,0.0008818493,0.001651348,0.004225979,0.001407379,0.07849215],"category_scores_gemma":[0.004516129,0.001329888,0.001266048,0.001900272,0.0004277739,0.001719267,0.002227183,0.003061911,0.03122631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007850047,"about_ca_system_score_gemma":0.001858425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005998163,"about_ca_topic_score_gemma":0.01247278,"domain_scores_codex":[0.999413,0.00007210414,0.0000350861,0.000128024,0.0002892344,0.00006262229],"domain_scores_gemma":[0.9977939,0.00107388,0.0001296174,0.0003322334,0.0003612682,0.000309134],"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":[0.0004122426,0.000147835,0.001301895,0.001879187,0.0002450512,0.0007836113,0.0003798233,0.007440992,0.03893162,0.009990386,0.7174386,0.2210488],"study_design_scores_gemma":[0.0005122923,0.0000869146,0.004921079,0.0003797332,0.0001558292,0.001125333,0.0001202354,0.09747359,0.08483964,0.02603788,0.7839138,0.0004335979],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.002760831,0.0003280754,0.497066,0.0005075626,0.0004034303,0.000301516,0.04266321,0.4497412,0.006228188],"genre_scores_gemma":[0.04519802,0.001327503,0.6695596,0.0009184454,0.0003618098,0.003413083,0.1234834,0.1293649,0.02637324],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.07849215,"threshold_uncertainty_score":0.2625824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01731675526919105,"score_gpt":0.2790989649097475,"score_spread":0.2617822096405564,"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."}}