{"id":"W2401857473","doi":"10.1101/055525","title":"Knowledge.Bio: A Web Application for Exploring, Building and Sharing Webs of Biomedical Relationships Mined from PubMed","year":2016,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Eagle Ridge Hospital","funders":"National Center for Advancing Translational Sciences; European Commission; Leids Universitair Medisch Centrum; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; National Institutes of Health; Universiteit Leiden; Georgia Clinical and Translational Science Alliance","keywords":"World Wide Web; Computer science; Interface (matter); Information retrieval; Knowledge sharing; Data science; Knowledge management","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":[0.00319525,0.002316869,0.001371879,0.01321968,0.001194656,0.004340341,0.001826513,0.001642967,0.04972835],"category_scores_gemma":[0.01153281,0.00119113,0.001375436,0.007576575,0.000610457,0.004805115,0.005181925,0.001386718,0.02283305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008105371,"about_ca_system_score_gemma":0.002178258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002622367,"about_ca_topic_score_gemma":0.006052127,"domain_scores_codex":[0.9989973,0.0002112403,0.0001609552,0.0002194952,0.0003607005,0.00005029226],"domain_scores_gemma":[0.9959181,0.002539353,0.0004088636,0.0005593406,0.0002793446,0.0002949465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001169662,0.0002781239,0.006222779,0.01157549,0.001216605,0.002306759,0.002283635,0.003630735,0.01594601,0.02757728,0.6019061,0.3258869],"study_design_scores_gemma":[0.0006239539,0.0001671844,0.01056751,0.002177342,0.0004759449,0.002724702,0.0009401394,0.03485967,0.01208767,0.07599974,0.8590019,0.0003742092],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"methods","genre_scores_codex":[0.01292204,0.005119134,0.2516143,0.003485205,0.0004535775,0.001496819,0.2770183,0.4117768,0.03611374],"genre_scores_gemma":[0.06011132,0.006791921,0.559523,0.002107864,0.0003687833,0.003023023,0.3177006,0.03158493,0.01878855],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04972835,"threshold_uncertainty_score":0.1663579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04667692690815123,"score_gpt":0.2608841393886657,"score_spread":0.2142072124805144,"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."}}