{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004870221,0.0002393027,0.0002532176,0.0001254992,0.0001025315,0.0007779856,0.0009367859,0.0001071487,0.00005924411],"category_scores_gemma":[0.0007934525,0.0002320463,0.00002322568,0.0002646704,0.0001471095,0.0005376469,0.0001652694,0.0003564849,0.00009569761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005245687,"about_ca_system_score_gemma":0.0002224366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003043972,"about_ca_topic_score_gemma":0.0002732095,"domain_scores_codex":[0.9975892,0.0002137924,0.0006935907,0.0007429927,0.0004469604,0.0003135057],"domain_scores_gemma":[0.9984555,0.0003414344,0.0001499478,0.0003132173,0.0004467055,0.0002931591],"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":[0.00007864738,0.00008802391,0.0002797481,0.00001091443,0.000007932672,0.00004505267,0.001185312,0.004979413,0.001288352,0.9231375,0.00003076668,0.06886826],"study_design_scores_gemma":[0.000044924,0.0003211907,0.0003017741,0.00004252808,0.000002735572,0.000004217277,0.000336377,0.8698809,0.001118839,0.1276591,0.00004342851,0.0002440075],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01833631,0.00002527295,0.9769783,0.002213846,0.0004797807,0.0001574955,0.0001564629,0.00009384297,0.001558684],"genre_scores_gemma":[0.9737106,0.0001223598,0.02530805,0.0006461674,0.000123253,0.00001884728,0.00003436311,0.000009167575,0.00002716911],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9553743,"threshold_uncertainty_score":0.9462574,"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."}}