{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002433507,0.001057955,0.001168158,0.003089291,0.001722155,0.004094742,0.00230022,0.001248634,0.01202039],"category_scores_gemma":[0.009570195,0.000853577,0.001012066,0.003598303,0.0007945963,0.006233432,0.01135693,0.001596741,0.003332487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007192351,"about_ca_system_score_gemma":0.0016997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005471734,"about_ca_topic_score_gemma":0.01007441,"domain_scores_codex":[0.9980883,0.0003549771,0.0001429131,0.0005529305,0.0006984753,0.0001624898],"domain_scores_gemma":[0.99439,0.00239967,0.0002654823,0.001746709,0.0005379831,0.0006602519],"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":[0.002456819,0.0008278706,0.01955607,0.001233375,0.0005359304,0.002573105,0.006143983,0.02295994,0.04681035,0.05950295,0.2085518,0.6288479],"study_design_scores_gemma":[0.0004604929,0.0003630712,0.006018577,0.0002745696,0.0001502814,0.001153696,0.001771153,0.4267363,0.05318553,0.09682243,0.4126938,0.0003701915],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06172116,0.0009932445,0.7510318,0.0009741695,0.0003883564,0.0005627416,0.009796159,0.157947,0.01658536],"genre_scores_gemma":[0.2613908,0.000746286,0.6988667,0.0005555399,0.0001772146,0.000543736,0.01702273,0.007960881,0.01273602],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01202039,"threshold_uncertainty_score":0.04021215,"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."}}