{"id":"W6888829327","doi":"10.2312/eurova.20231090","title":"ChatKG: Visualizing Temporal Patterns as Knowledge Graph","year":2023,"lang":"en","type":"article","venue":"TU/e Research Portal","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Visualization; Knowledge graph; Graph; Temporal database; Data visualization; Oracle; Knowledge extraction; Information visualization","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":[0.001079884,0.0007947361,0.0003638174,0.004424173,0.0005420207,0.00234264,0.0007565222,0.0007259086,0.007035224],"category_scores_gemma":[0.006634328,0.0002499538,0.0005301304,0.003146606,0.0003931872,0.002876913,0.00157628,0.0008298015,0.0009975401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005583588,"about_ca_system_score_gemma":0.0008048529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006766888,"about_ca_topic_score_gemma":0.008812546,"domain_scores_codex":[0.9996014,0.0001268959,0.00004794721,0.00008024029,0.0001102741,0.00003332374],"domain_scores_gemma":[0.995801,0.002427793,0.0004397339,0.0006155765,0.0004819088,0.0002339955],"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":[0.001742367,0.0005766602,0.03284555,0.002879609,0.0003076452,0.001970802,0.0277889,0.03953623,0.04124741,0.07374226,0.1007405,0.6766221],"study_design_scores_gemma":[0.0002076996,0.0004043686,0.03462411,0.0008266831,0.0002239261,0.001255812,0.00945538,0.5399818,0.03624004,0.1529283,0.2235574,0.0002943903],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1059765,0.0007793767,0.7802595,0.001600788,0.0001842519,0.0004871039,0.03019018,0.06905684,0.01146539],"genre_scores_gemma":[0.4705423,0.0008242385,0.5034875,0.0002004105,0.000061102,0.0004795899,0.01778936,0.002836029,0.003779618],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007035224,"threshold_uncertainty_score":0.02353519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1529981918903683,"score_gpt":0.4758466024575219,"score_spread":0.3228484105671536,"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."}}