{"id":"W4386689587","doi":"10.18280/isi.280428","title":"Temporal Dimensions of Quality in Knowledge Graph Evolution: A Comprehensive Review","year":2023,"lang":"en","type":"review","venue":"Ingénierie des systèmes d information","topic":"Advanced Graph Neural Networks","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Graph; Knowledge graph; Data science; Theoretical computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008661926,0.0005014077,0.00218508,0.001014347,0.0001455504,0.00007186866,0.001089806,0.0002998477,0.00000312393],"category_scores_gemma":[0.0003512088,0.0003959944,0.0005788622,0.00525264,0.0002104527,0.002601663,0.0005813915,0.0005228678,0.0001661751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004478901,"about_ca_system_score_gemma":0.0004096044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000699292,"about_ca_topic_score_gemma":0.00003388969,"domain_scores_codex":[0.9953011,0.0006284456,0.002839761,0.0003633575,0.0004139802,0.0004533464],"domain_scores_gemma":[0.9957711,0.0005930897,0.001985131,0.001016068,0.0005210428,0.0001135641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002295019,0.0000294583,0.00001254107,0.1483501,0.00006152487,0.000005077504,0.0004178007,0.00007108898,8.263281e-8,0.01738354,0.001123287,0.8325432],"study_design_scores_gemma":[0.000281511,0.00008848796,0.0001766254,0.2060457,0.000129773,0.00007834123,0.00006216639,0.000955872,4.087735e-7,0.01516934,0.7761847,0.0008270321],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000003634856,0.9605913,0.03651963,0.00001700398,0.0005854206,0.001579353,0.00004433433,0.0002952261,0.0003640857],"genre_scores_gemma":[0.0000776748,0.9960079,0.00326583,0.00007599155,0.00003439684,0.0002821951,0.0002105957,0.00002314458,0.00002223505],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8317162,"threshold_uncertainty_score":0.9998492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07815481538933441,"score_gpt":0.3543591624805975,"score_spread":0.2762043470912631,"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."}}