{"id":"W166361300","doi":"","title":"Join Bayes Nets: A new type of Bayes net for relational data","year":2008,"lang":"en","type":"article","venue":"","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Inference; Relational database; Bayes' theorem; Graphical model; Statistical relational learning; Bayesian network; Schema (genetic algorithms); Data mining; Artificial intelligence; Theoretical computer science; Machine learning; Bayesian probability","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001613041,0.00008391825,0.0001258923,0.00004637392,0.00007243727,0.00002479008,0.0008899426,0.0000522014,0.00007199358],"category_scores_gemma":[0.0001094112,0.00007181834,0.00002777611,0.000201756,0.00003375145,0.0004789997,0.0002526409,0.00006111818,0.00002994997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006949633,"about_ca_system_score_gemma":0.0003239393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001117515,"about_ca_topic_score_gemma":0.00001764021,"domain_scores_codex":[0.999119,0.00001742044,0.0002189514,0.0003137302,0.0001759617,0.000154916],"domain_scores_gemma":[0.9989007,0.000137371,0.00006364685,0.0007063676,0.0001121798,0.00007969578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000027418,0.00007945485,0.001441323,0.00001732584,0.00003485838,0.000003223757,0.0004332902,0.001066574,0.0005485498,0.5555505,0.4122269,0.02857066],"study_design_scores_gemma":[0.000373153,0.0001686026,0.002075351,0.00002562008,0.000006735401,0.00002862608,0.000007125342,0.9309781,0.0005143756,0.03839293,0.02723463,0.0001947553],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001309886,0.0002160776,0.9943561,0.001467403,0.0001606056,0.00008356491,0.00001388567,0.00008295228,0.002309524],"genre_scores_gemma":[0.2786756,0.0000529889,0.7173293,0.000530889,0.0001000544,0.000002420106,0.00005786776,0.000007302237,0.003243578],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9299115,"threshold_uncertainty_score":0.2928667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.252558228223465,"score_gpt":0.3300892989473731,"score_spread":0.07753107072390814,"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."}}