{"id":"W2029921227","doi":"10.1093/bioinformatics/btl648","title":"DataBiNS: a BioMoby-based data-mining workflow for biological pathways and non-synonymous SNPs","year":2007,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Paul's Hospital; University of British Columbia","funders":"Genome Canada","keywords":"Workflow; Computer science; Identifier; Web service; Workflow management system; World Wide Web; XML; Data mining; Information retrieval; Database; 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":[0.003756779,0.001436899,0.001251119,0.004306457,0.001325822,0.002377969,0.002104161,0.001045462,0.01300069],"category_scores_gemma":[0.009133165,0.0007340323,0.001435945,0.004279893,0.0007050356,0.00183506,0.002444722,0.0009688497,0.009238868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001140538,"about_ca_system_score_gemma":0.003678143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006957359,"about_ca_topic_score_gemma":0.008724658,"domain_scores_codex":[0.998791,0.0002029247,0.0002372833,0.0003541747,0.0003352958,0.00007928092],"domain_scores_gemma":[0.9955387,0.001809541,0.0005676452,0.0009010235,0.0007453342,0.0004377734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004273228,0.0005188654,0.0346342,0.006583897,0.0007621548,0.002430073,0.001807345,0.01531977,0.07305682,0.02841177,0.3579709,0.474231],"study_design_scores_gemma":[0.0009124899,0.0002471887,0.02677338,0.001074954,0.0002762195,0.002230806,0.0007812782,0.1143191,0.1042297,0.06832848,0.6804254,0.0004010334],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01824733,0.0009802737,0.6193354,0.001819886,0.0002635664,0.00101911,0.1523316,0.1997602,0.006242624],"genre_scores_gemma":[0.06664217,0.001384662,0.6962512,0.0006867591,0.0001077478,0.001452738,0.2168141,0.01082522,0.005835399],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01300069,"threshold_uncertainty_score":0.04349166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07184932710687342,"score_gpt":0.306166776981287,"score_spread":0.2343174498744136,"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."}}