{"id":"W3037549864","doi":"","title":"Causal inference in degenerate systems: An impossibility result","year":2020,"lang":"en","type":"article","venue":"International Conference on Artificial Intelligence and Statistics","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Directed acyclic graph; Impossibility; Degenerate energy levels; Causal inference; Causal model; Computer science; Directed graph; Theoretical computer science; Inference; Mathematics; Algorithm; Artificial intelligence; Econometrics; Statistics","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":[0.04135447,0.001181326,0.00339042,0.005333356,0.002764855,0.003730391,0.003110095,0.004447457,0.003910022],"category_scores_gemma":[0.1948149,0.00207176,0.003266471,0.002963342,0.01190764,0.01189923,0.006719879,0.007048744,0.0004271279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002832139,"about_ca_system_score_gemma":0.002225302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002386544,"about_ca_topic_score_gemma":0.001515651,"domain_scores_codex":[0.967232,0.01728265,0.001828624,0.007988005,0.004452176,0.001216515],"domain_scores_gemma":[0.6551909,0.3090055,0.01439374,0.01474824,0.004502794,0.002158865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001555476,0.00007539854,0.006154589,0.0002948801,0.0002570693,0.0006151511,0.0008439542,0.1245948,0.0007778182,0.8449175,0.001332892,0.01998036],"study_design_scores_gemma":[0.00002164534,0.0000175817,0.0003595484,0.00004620267,0.00003100977,0.0001979083,0.0000474144,0.2050724,0.0003087547,0.7933426,0.0005276873,0.00002726265],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02477514,0.0003021337,0.9704497,0.001415249,0.00002917349,0.00007896247,0.0001658146,0.000248968,0.002534918],"genre_scores_gemma":[0.6674877,0.0004258196,0.3292096,0.0008377054,0.0001963128,0.0003493749,0.0003380921,0.0001169115,0.001038564],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04135447,"threshold_uncertainty_score":0.218706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2107680685530983,"score_gpt":0.3770893154097028,"score_spread":0.1663212468566045,"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."}}