{"id":"W2750991217","doi":"10.14778/3137765.3137788","title":"Interactive navigation of open data linkages","year":2017,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Scalability; Cloud computing; The Internet; Big data; Interface (matter); Data mining; Linkage (software); Millisecond; Information retrieval; World Wide Web; Database; Operating system","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":["open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.0004890842,0.00007657579,0.0001279592,0.00003115392,0.0001659447,0.0006306551,0.01328048,0.00001484807,0.000004437195],"category_scores_gemma":[0.0001192601,0.0000519852,0.00002784186,0.00007442619,0.00006991599,0.004080686,0.0175886,0.00006786437,0.000004390636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001562164,"about_ca_system_score_gemma":0.00001337145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001939316,"about_ca_topic_score_gemma":0.000001653649,"domain_scores_codex":[0.9991727,0.000003595232,0.0001876567,0.0002787589,0.000251393,0.0001059355],"domain_scores_gemma":[0.9982957,0.00001673016,0.0005904602,0.0009603945,0.0001148194,0.00002190188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004433917,0.0007352378,0.01787056,0.0004833567,0.0004277947,0.000002297949,0.003151432,0.000006108324,0.04244025,0.3646616,0.05461492,0.5155621],"study_design_scores_gemma":[0.002468898,0.0003160411,0.07515684,0.001497129,0.0001352108,0.000009155136,0.0008584633,0.04004428,0.7634811,0.06349241,0.05195716,0.0005833007],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4827216,0.0003689897,0.03164326,0.05242277,0.006481676,0.00820128,0.0005431271,0.0003067002,0.4173106],"genre_scores_gemma":[0.9792583,0.00002523355,0.01995599,0.00004611542,0.0000408152,0.00001330553,0.000007778519,0.000004436105,0.000648007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7210408,"threshold_uncertainty_score":0.9920582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07352448097533695,"score_gpt":0.3467404140371007,"score_spread":0.2732159330617637,"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."}}