{"id":"W2368161388","doi":"","title":"Mining multivariate association patterns from spatiotemporal data","year":2011,"lang":"en","type":"article","venue":"Journal of Central South University(Science and Technology)","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Multivariate statistics; Association rule learning; Data mining; Computer science; Association (psychology); Graph; Multivariate analysis; Artificial intelligence; Machine learning; Theoretical computer science","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":[0.002665501,0.0007922624,0.001334393,0.006210353,0.0008205613,0.001691002,0.001326315,0.0008577352,0.001081459],"category_scores_gemma":[0.01400785,0.0004570893,0.001745984,0.007315336,0.0005063144,0.003071446,0.001790609,0.001289942,0.0004394987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004401585,"about_ca_system_score_gemma":0.001344237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002386226,"about_ca_topic_score_gemma":0.002752054,"domain_scores_codex":[0.9972337,0.0005538583,0.0004301154,0.0007703617,0.0008305435,0.0001815437],"domain_scores_gemma":[0.9921673,0.004405103,0.001181155,0.0008412042,0.001203953,0.0002013332],"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":[0.0005133906,0.000479471,0.0874674,0.0008761657,0.0008883784,0.002355533,0.0009932216,0.125609,0.00922008,0.03391257,0.007398643,0.7302862],"study_design_scores_gemma":[0.00003964463,0.0001155651,0.01052318,0.0000871779,0.0001767774,0.00102197,0.0005762468,0.894161,0.005129893,0.08151786,0.006597387,0.00005328555],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08189157,0.0004301067,0.9132959,0.0003831012,0.00005571237,0.0001686601,0.002146016,0.0007457277,0.0008832701],"genre_scores_gemma":[0.390636,0.0005810343,0.6015444,0.0001035279,0.00008337148,0.0002745539,0.005960667,0.00007499323,0.00074141],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006210353,"threshold_uncertainty_score":0.01409668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03193781534655782,"score_gpt":0.2184859738717871,"score_spread":0.1865481585252292,"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."}}