{"id":"W2097508475","doi":"10.1093/bioinformatics/btt138","title":"Cytoscape App Store","year":2013,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":192,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute of General Medical Sciences; National Institutes of Health","keywords":"App store; Computer science; World Wide Web; Software; Open source; Data science; Visualization; Information retrieval; Data mining; Operating system","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001294587,0.001893733,0.001957655,0.00498699,0.001557178,0.002624651,0.004260334,0.002103651,0.3213534],"category_scores_gemma":[0.01018577,0.001770149,0.001113579,0.003354437,0.0003658014,0.003550153,0.002592737,0.002797924,0.2132328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000575495,"about_ca_system_score_gemma":0.002285614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004724558,"about_ca_topic_score_gemma":0.009234549,"domain_scores_codex":[0.9992729,0.00008827251,0.00007027148,0.000156345,0.0003258378,0.00008638389],"domain_scores_gemma":[0.9955906,0.001926467,0.000252929,0.0005793926,0.001158429,0.0004921505],"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":[0.0001197006,0.00002392994,0.0002814437,0.001265814,0.00005386215,0.0001829699,0.00007718304,0.0001653238,0.0009303044,0.001264814,0.9778463,0.01778843],"study_design_scores_gemma":[0.000252198,0.00003194943,0.001223655,0.0004039112,0.00008054216,0.0005197805,0.00005090783,0.001858021,0.005400259,0.008071763,0.981967,0.0001400265],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.001882808,0.001867515,0.02625628,0.001705616,0.001795096,0.0007589089,0.6073371,0.3075698,0.05082681],"genre_scores_gemma":[0.01838571,0.002477104,0.05635321,0.003877184,0.001029083,0.00436853,0.7542557,0.09084249,0.06841103],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.3213534,"threshold_uncertainty_score":0.968007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006885813618096346,"score_gpt":0.2056756389047812,"score_spread":0.1987898252866849,"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."}}