{"id":"W7125788153","doi":"10.21428/594757db.0e97e1e8","title":"Towards Inference in Arithmetic Circuits by Exploiting Barren Variables","year":2025,"lang":"en","type":"article","venue":"","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Inference; Bayesian network; Variable elimination; Probabilistic logic; Node (physics); Bayesian inference; Fiducial inference; Approximate inference; Predictive inference","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":[0.0004142018,0.0001505095,0.0001929847,0.0001829902,0.00007392367,0.0002653805,0.000945355,0.000088801,0.00003674705],"category_scores_gemma":[0.0002542358,0.0001428833,0.0000315422,0.0008357242,0.00003094424,0.0004225208,0.0002893372,0.0002167246,0.0000281547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005274789,"about_ca_system_score_gemma":0.0002630186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003334228,"about_ca_topic_score_gemma":0.00002848009,"domain_scores_codex":[0.9986235,0.00007052563,0.0003073121,0.0004542965,0.0001861299,0.0003581672],"domain_scores_gemma":[0.9991837,0.0002058729,0.00003918262,0.0004189108,0.00007808871,0.00007425417],"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":[8.643676e-7,0.00008088587,0.001365839,0.00003105647,0.00001029717,0.000007041796,0.0003014516,0.0004973316,0.002107261,0.6841781,0.002428124,0.3089918],"study_design_scores_gemma":[0.0005862903,0.00005378829,0.001481487,0.0003576447,0.000007607828,0.000003538931,0.0001218199,0.7398313,0.0123545,0.2428841,0.001762238,0.0005556686],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003505467,0.0002015322,0.9422027,0.0009835451,0.0002005244,0.00007694009,0.000001387703,0.0002105652,0.05261735],"genre_scores_gemma":[0.9719982,0.00003112231,0.02592527,0.001113256,0.0000119042,0.00002721632,0.000002004012,0.000004410587,0.0008866472],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9684927,"threshold_uncertainty_score":0.5826612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02173446218836659,"score_gpt":0.2794042134595273,"score_spread":0.2576697512711607,"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."}}