{"id":"W3031898476","doi":"10.1145/3318464.3389759","title":"Causal Relational Learning","year":2020,"lang":"en","type":"article","venue":"","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Alberta Innovates - Technology Futures; National Institutes of Health; National Science Foundation","keywords":"Causal inference; Computer science; Relational database; Causal structure; Inference; Datalog; Causality (physics); Data science; Theoretical computer science; Artificial intelligence; Machine learning; Data mining; Mathematics; Econometrics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01808652,0.001681184,0.001917514,0.004514408,0.001980504,0.00572907,0.004671032,0.002537094,0.01581463],"category_scores_gemma":[0.08116546,0.001414493,0.003939136,0.004552966,0.003534418,0.01070685,0.005360184,0.005464701,0.002208272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003534126,"about_ca_system_score_gemma":0.004913258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008383974,"about_ca_topic_score_gemma":0.01061853,"domain_scores_codex":[0.9835435,0.008042558,0.00132083,0.003476989,0.003095468,0.000520731],"domain_scores_gemma":[0.9245412,0.06062263,0.003470463,0.007224097,0.003300275,0.0008414185],"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":[0.0001579873,0.0001571575,0.004126738,0.0008114211,0.0003321337,0.0005007323,0.0005993012,0.04787257,0.0003691344,0.7928814,0.01707889,0.1351125],"study_design_scores_gemma":[0.00004112221,0.00002297885,0.0002914129,0.0001598789,0.00007655951,0.0001925262,0.00008614362,0.1156761,0.0004724225,0.8646348,0.01831266,0.00003336256],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001668034,0.0007012169,0.9884073,0.002297893,0.00009673946,0.0002423292,0.002030086,0.0007639651,0.003792451],"genre_scores_gemma":[0.1612134,0.002545432,0.8193579,0.002586802,0.0005806884,0.00108209,0.007813772,0.0003536361,0.00446618],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01808652,"threshold_uncertainty_score":0.09565181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0581413985270197,"score_gpt":0.2462652500311113,"score_spread":0.1881238515040916,"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."}}