{"id":"W2885407484","doi":"10.1145/3234200.3234225","title":"Flowtree","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Banting and Best Diabetes Centre, University of Toronto; Bundesministerium für Bildung und Forschung; H2020 European Research Council; Leibniz-Gemeinschaft; Gottfried Wilhelm Leibniz Universität Hannover; Deutsche Forschungsgemeinschaft","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004510963,0.00003172073,0.0000346472,0.00001542306,0.00005375259,0.00001412284,0.000160267,0.000008231421,0.00007757988],"category_scores_gemma":[0.000008956644,0.00002291786,0.00001019934,0.00009408018,0.00002812843,0.0003706103,0.0001165099,0.00001362078,0.0007056855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003561891,"about_ca_system_score_gemma":0.00000949544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001922976,"about_ca_topic_score_gemma":0.00004035281,"domain_scores_codex":[0.9996823,0.000005843872,0.0000511704,0.0001136227,0.0000602985,0.00008676578],"domain_scores_gemma":[0.99959,0.000008442229,0.00001002505,0.0003308791,0.00003214782,0.00002850714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[2.76987e-7,0.000002488067,0.00004728594,7.05945e-7,9.128774e-7,0.00000147268,0.00005794348,1.634564e-7,0.0002522812,0.9648086,0.006014643,0.02881326],"study_design_scores_gemma":[0.00005328101,0.0000361978,0.0002552324,0.000003076845,2.110502e-7,0.000005918011,0.00001136591,0.003460987,0.006160391,0.001906475,0.9880437,0.00006319214],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0004727132,0.0000114844,0.8906584,0.0002096334,0.0002611954,0.00001912756,5.849878e-7,0.0001380247,0.1082288],"genre_scores_gemma":[0.1688426,0.000001395015,0.8240761,0.0005899783,0.0002641866,0.000003456789,7.148105e-7,0.00000272806,0.006218845],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.982029,"threshold_uncertainty_score":0.9070395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01016396646950945,"score_gpt":0.2416013907452206,"score_spread":0.2314374242757111,"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."}}