{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01047957,0.001453423,0.001978717,0.004405859,0.001684383,0.007445641,0.003297369,0.002771184,0.006693206],"category_scores_gemma":[0.03001919,0.001567992,0.00244041,0.00470692,0.002650823,0.01389521,0.00324335,0.006161906,0.001949897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002017495,"about_ca_system_score_gemma":0.002971968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005316024,"about_ca_topic_score_gemma":0.00680203,"domain_scores_codex":[0.9910328,0.002914598,0.0008983768,0.001726544,0.003194923,0.0002329026],"domain_scores_gemma":[0.9843332,0.01058005,0.00103995,0.002025564,0.001614668,0.0004065518],"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":[0.0001605404,0.0000682826,0.003188442,0.0003355511,0.000199942,0.0002908512,0.0004455692,0.03529297,0.0007848048,0.7677864,0.01493401,0.1765126],"study_design_scores_gemma":[0.00002692681,0.00002482811,0.0003237547,0.0001163359,0.00007048278,0.0002963856,0.00005624546,0.1727243,0.000843396,0.7806066,0.04485817,0.00005252317],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0006478679,0.0003889092,0.9955419,0.0004596986,0.0001353385,0.00006889185,0.0004858152,0.000398586,0.001872888],"genre_scores_gemma":[0.03219949,0.001280284,0.9591371,0.000833143,0.0006304253,0.0003958954,0.001322796,0.0003563577,0.003844642],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01047957,"threshold_uncertainty_score":0.05542195,"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."}}