{"id":"W2947498855","doi":"","title":"On the Tree Structure of Deep Convolutional Sum-Product Networks.","year":2019,"lang":"en","type":"article","venue":"The Florida AI Research Society","topic":"Graph Theory and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Computer science; Tree (set theory); Product (mathematics); Convolutional neural network; Artificial intelligence; Mathematics; Combinatorics","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":[0.00303584,0.0001362758,0.0001564982,0.00003371918,0.0005613148,0.0001174343,0.002367724,0.00006880552,0.0001696885],"category_scores_gemma":[0.0001246689,0.00006962656,0.0002238118,0.001016821,0.0006124385,0.0001943305,0.000553673,0.001048233,0.00006925814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004916656,"about_ca_system_score_gemma":0.0001087525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001720663,"about_ca_topic_score_gemma":0.000004500816,"domain_scores_codex":[0.9972371,0.0006041002,0.0001741501,0.0003804023,0.00105408,0.0005501564],"domain_scores_gemma":[0.99674,0.00151785,0.00005797486,0.001295908,0.0003197714,0.00006852435],"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":[0.00003143186,0.00003607199,0.0003080069,0.00001699289,0.00009556238,0.00000103536,0.001965811,0.004936792,0.002421799,0.9599974,0.02674789,0.003441164],"study_design_scores_gemma":[0.0006054756,0.0002888496,0.008431429,0.00004151482,0.000008165744,0.00001135666,0.0006798996,0.5004197,0.007072947,0.4791975,0.002976761,0.0002664734],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8997352,0.0011285,0.06901675,0.02334748,0.002436553,0.00145841,0.00003175756,0.0001372471,0.002708078],"genre_scores_gemma":[0.9978274,0.00003828167,0.0004921851,0.0006715156,0.0003999837,0.00001058098,0.000003777676,0.000009172911,0.0005471117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4954829,"threshold_uncertainty_score":0.4554111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02337795284357017,"score_gpt":0.2887336469182001,"score_spread":0.2653556940746299,"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."}}