{"id":"W3134539481","doi":"10.1038/s41598-021-84869-4","title":"Pattern discovery and disentanglement on relational datasets","year":2021,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Imbalanced Data Classification Techniques","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Data science; Data mining; Information retrieval; Computational biology; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.007397595,0.001173034,0.001225084,0.008535146,0.001305834,0.004108044,0.001805269,0.0009234832,0.001473662],"category_scores_gemma":[0.03392596,0.0004225488,0.001701564,0.008400806,0.001228413,0.004960493,0.00467044,0.002254459,0.0007126636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001153642,"about_ca_system_score_gemma":0.002085809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003616097,"about_ca_topic_score_gemma":0.003982622,"domain_scores_codex":[0.9904104,0.002696136,0.001255115,0.002313454,0.002967922,0.0003568523],"domain_scores_gemma":[0.9790612,0.01121213,0.003127793,0.004827076,0.001380424,0.0003914873],"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":[0.0009551053,0.0005899415,0.09026789,0.00109812,0.0006026715,0.002047855,0.002106341,0.06650461,0.01785773,0.0485611,0.01073419,0.7586744],"study_design_scores_gemma":[0.0001009258,0.0002312502,0.02495405,0.0001811301,0.000229099,0.00129245,0.001696866,0.6918722,0.0267275,0.2257053,0.02689713,0.0001119741],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1502372,0.001364364,0.8256575,0.002014286,0.0001053311,0.000494355,0.01274825,0.00419815,0.003180623],"genre_scores_gemma":[0.4573998,0.0008094844,0.522037,0.0002657861,0.00008545999,0.0003576468,0.01799887,0.0001414336,0.0009045457],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008535146,"threshold_uncertainty_score":0.0391227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02321418973549529,"score_gpt":0.2676938593327197,"score_spread":0.2444796695972244,"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."}}