{"id":"W2948762444","doi":"10.1145/3299869.3320232","title":"GraphWrangler","year":2019,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Scripting language; SQL; Relational database management system; Visualization; Programming language; Data visualization; Graph; Pipeline (software); Analytics; Software; Process (computing); Relational database; Database; Theoretical computer science; Data mining","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003626898,0.00002112887,0.00002568692,0.00002988114,0.00000894421,0.00005211307,0.0002523751,0.000007753184,0.000508972],"category_scores_gemma":[0.000002379281,0.00001632129,0.00001363726,0.0001709798,0.000002937375,0.0002020552,0.00005581985,0.00001171058,0.001961747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001582145,"about_ca_system_score_gemma":0.000005993547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001914787,"about_ca_topic_score_gemma":7.867577e-7,"domain_scores_codex":[0.9997599,0.000004558504,0.00003774887,0.00007940195,0.00006747893,0.00005098612],"domain_scores_gemma":[0.9997345,0.00000590426,0.000007752406,0.0002165712,0.00001461635,0.00002067901],"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":[5.801001e-8,0.000007108877,0.001766112,9.745783e-7,0.000001341679,2.857246e-7,0.00001811849,0.000004106846,0.00006571004,0.9836715,0.01241827,0.002046366],"study_design_scores_gemma":[0.0003172737,0.00003559003,0.003741136,0.000004560822,0.000001360751,0.000003386958,0.00002261422,0.3284062,0.001272415,0.009659133,0.6563557,0.0001806033],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001682234,0.000005439515,0.8521418,0.0003904782,0.0001487198,0.00002370943,2.978311e-7,0.0001174237,0.1454899],"genre_scores_gemma":[0.9187689,0.000007624383,0.02836827,0.00533912,0.00001946155,7.166625e-7,0.000006938488,0.000003784846,0.04748518],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9740124,"threshold_uncertainty_score":0.9988154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01374455945349038,"score_gpt":0.2676976218942785,"score_spread":0.2539530624407881,"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."}}