{"id":"W3174181760","doi":"10.1145/3448016.3450586","title":"Temporal Dependencies for Graphs","year":2021,"lang":"en","type":"article","venue":"","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Graph product; Product (mathematics); Knowledge graph; Relational database; Theoretical computer science; Information retrieval; Data mining; Graph; Chordal graph; Mathematics","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":[0.005217655,0.001607922,0.000896953,0.005223562,0.002631814,0.004507192,0.002226458,0.001995031,0.01827938],"category_scores_gemma":[0.0260071,0.001618781,0.003425768,0.005746949,0.00329555,0.01403307,0.004152164,0.004526261,0.00397087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003994558,"about_ca_system_score_gemma":0.002445113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01841137,"about_ca_topic_score_gemma":0.01525603,"domain_scores_codex":[0.9939784,0.001723224,0.0007170025,0.001691265,0.001499796,0.0003903958],"domain_scores_gemma":[0.9776372,0.01421929,0.001648683,0.003455082,0.002607913,0.0004317529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000042547,0.00002359157,0.0005583845,0.0003384074,0.00004670891,0.0002877001,0.0004566431,0.009892569,0.0005763038,0.9376124,0.01376097,0.03640379],"study_design_scores_gemma":[0.00001464153,0.00001147415,0.0001807214,0.0001021738,0.00003719792,0.000237785,0.00008139307,0.0169021,0.0005367342,0.9083935,0.07347614,0.00002611631],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005539193,0.002537131,0.9528466,0.003300657,0.0005867249,0.0002715157,0.006964442,0.00229714,0.02565661],"genre_scores_gemma":[0.1811286,0.007345104,0.7579333,0.002840174,0.001711574,0.001150571,0.02093254,0.00245334,0.02450482],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01841137,"threshold_uncertainty_score":0.06115061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3411536695664695,"score_gpt":0.4632558994090251,"score_spread":0.1221022298425555,"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."}}