{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007136504,0.001489888,0.0006904649,0.002505256,0.0009618307,0.002928399,0.001845877,0.001046403,0.07253268],"category_scores_gemma":[0.003793704,0.0008095942,0.001204421,0.001948919,0.0005236314,0.004696023,0.00199496,0.001393784,0.03544731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001073498,"about_ca_system_score_gemma":0.001731822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005994326,"about_ca_topic_score_gemma":0.008244164,"domain_scores_codex":[0.9995624,0.00004209653,0.00003762405,0.0001512589,0.000127896,0.00007865687],"domain_scores_gemma":[0.9990761,0.0002463172,0.00004561635,0.0002927397,0.0002568414,0.00008225341],"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":[0.0004993885,0.000142244,0.002243701,0.0009273255,0.00008705183,0.0001754669,0.0002486372,0.007978348,0.003598331,0.03910086,0.723363,0.2216357],"study_design_scores_gemma":[0.000150677,0.00007259448,0.001292965,0.0002554519,0.00004372902,0.0002532968,0.0001784196,0.05053255,0.006242753,0.07942178,0.861477,0.000078855],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"other","genre_scores_codex":[0.01227328,0.0019085,0.3255272,0.001894438,0.001000302,0.0009184512,0.2314664,0.3275638,0.09744768],"genre_scores_gemma":[0.09691993,0.002430033,0.2996989,0.001815762,0.0002691255,0.001052959,0.514954,0.03089958,0.05195978],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07253268,"threshold_uncertainty_score":0,"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."}}