{"id":"W1929602221","doi":"10.5555/1036843.1036889","title":"Convolutional factor graphs as probabilistic models","year":2004,"lang":"en","type":"article","venue":"","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Ottawa","funders":"","keywords":"Graphical model; Latent variable; Random variable; Factor graph; Mathematics; Fourier transform; Multiplicative function; Probabilistic logic; Computer science; Algorithm; 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":[0.001992911,0.001280027,0.001090423,0.001922346,0.0005083716,0.002057938,0.001893114,0.001774101,0.005073522],"category_scores_gemma":[0.008850889,0.0008133585,0.001695727,0.002496291,0.002302571,0.004047201,0.001595965,0.002553581,0.0008509658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002217731,"about_ca_system_score_gemma":0.001250374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00906871,"about_ca_topic_score_gemma":0.009552779,"domain_scores_codex":[0.9985788,0.0005599561,0.00006027879,0.0003217149,0.000328965,0.0001504153],"domain_scores_gemma":[0.9955439,0.002866712,0.000532608,0.0004881818,0.0004256,0.0001429776],"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":[0.00002327793,0.00001062093,0.0002910644,0.00005821633,0.00004094391,0.00005185814,0.00008575278,0.1500522,0.0003416315,0.8308893,0.001526154,0.01662884],"study_design_scores_gemma":[0.000006312418,0.00000826386,0.0001025041,0.0000193526,0.00001429788,0.00002839744,0.000008545036,0.39957,0.0001468123,0.5971149,0.002968433,0.00001213361],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003411749,0.0005102079,0.9923694,0.0003453922,0.00004257447,0.00001899701,0.0002823257,0.000252196,0.002767006],"genre_scores_gemma":[0.5266745,0.004657166,0.442546,0.0008875426,0.0005061253,0.0004507925,0.0016214,0.0004873217,0.02216915],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00906871,"threshold_uncertainty_score":0.01803184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04020722094215786,"score_gpt":0.2560825211072293,"score_spread":0.2158753001650715,"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."}}