{"id":"W2044665483","doi":"10.1111/j.1551-6709.2011.01182.x","title":"Bayesian Intractability Is Not an Ailment That Approximation Can Cure","year":2011,"lang":"en","type":"letter","venue":"Cognitive Science","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":125,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; Bayesian probability; Artificial intelligence; Bounded function; Probabilistic logic; Computation; Bayesian inference; Class (philosophy); Variety (cybernetics); Categorization; Machine learning; Mathematics; Algorithm","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":[0.009806617,0.001293642,0.002150675,0.001355906,0.002349132,0.004728351,0.002730244,0.003823592,0.01789191],"category_scores_gemma":[0.06528224,0.0009386006,0.001739966,0.001622698,0.008666931,0.01705504,0.004565468,0.01232899,0.004368817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003099907,"about_ca_system_score_gemma":0.00416323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005259972,"about_ca_topic_score_gemma":0.003511829,"domain_scores_codex":[0.9928151,0.002200444,0.0003681835,0.001731035,0.002420953,0.0004642399],"domain_scores_gemma":[0.9530654,0.03276084,0.002075323,0.008568622,0.002850785,0.0006790486],"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":[0.00006310025,0.00004742008,0.0008059573,0.0002900743,0.000110822,0.00008767706,0.0002722705,0.009471629,0.0001805377,0.9338518,0.02339493,0.03142368],"study_design_scores_gemma":[0.00001532501,0.000009705804,0.00008602569,0.00008365829,0.00001310127,0.00005738898,0.00004325367,0.01015175,0.0001210006,0.9714904,0.0179154,0.00001294362],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.01099611,0.00818081,0.7845393,0.1308136,0.003112882,0.0001731824,0.001443106,0.001491834,0.05924919],"genre_scores_gemma":[0.5153811,0.0131144,0.3917007,0.0308982,0.007608699,0.001028582,0.002705791,0.001706856,0.03585567],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.01789191,"threshold_uncertainty_score":0.05985439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0799380831230464,"score_gpt":0.2932410918662071,"score_spread":0.2133030087431607,"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."}}