{"id":"W6929397368","doi":"10.48660/24050094","title":"Quantum Foundations SeminarBayesian learning of Causal Structure and Mechanisms with GFlowNets and Variational Bayes","year":2024,"lang":"en","type":"other","venue":"PIRSA","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Mila - Quebec Artificial Intelligence Institute","funders":"","keywords":"Bayes' theorem; Quantum; Causal structure; Causal model; Bayesian probability; Mathematical structure","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":[0.004004426,0.001322917,0.002134169,0.00174658,0.001449287,0.004343349,0.002512783,0.002986794,0.01735397],"category_scores_gemma":[0.01510904,0.0009525837,0.001631329,0.002892333,0.004035986,0.00696432,0.003918844,0.005562263,0.002727184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004908561,"about_ca_system_score_gemma":0.002507142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00999117,"about_ca_topic_score_gemma":0.006938787,"domain_scores_codex":[0.9981334,0.001001473,0.00006325405,0.0003421463,0.0003575973,0.0001021426],"domain_scores_gemma":[0.9951249,0.003376729,0.000251912,0.0005833649,0.0004210677,0.00024206],"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":[0.000007750624,0.000008871274,0.00006941452,0.0000296028,0.00001394612,0.000009589153,0.00001932029,0.004906007,0.00004861222,0.9867734,0.002204607,0.005908836],"study_design_scores_gemma":[0.000002929045,0.000001422674,0.00002709997,0.000008653061,0.000002210942,0.000004530894,0.000003395192,0.02172752,0.00002335103,0.9766069,0.001588153,0.000003830105],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01131098,0.003822311,0.9201561,0.01070695,0.000690983,0.00004753186,0.0009570696,0.0004320462,0.05187602],"genre_scores_gemma":[0.4854086,0.006482195,0.398584,0.002972143,0.002977188,0.0003388664,0.001730342,0.001036662,0.10047],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01735397,"threshold_uncertainty_score":0.05805486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02826902911217062,"score_gpt":0.3221616280494445,"score_spread":0.2938925989372739,"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."}}