{"id":"W3166703265","doi":"10.2139/ssrn.3199478","title":"Modeling and Querying Graphical Representations of Statistical Data","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Graphical model; Information retrieval; Data mining; Data science; Artificial intelligence","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":[0.005373766,0.001243133,0.001560781,0.00506467,0.0006922537,0.005769432,0.003477322,0.001833684,0.002299012],"category_scores_gemma":[0.04096781,0.001090982,0.003236129,0.005226005,0.001422014,0.007121274,0.002930778,0.002205279,0.0009871837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001638481,"about_ca_system_score_gemma":0.001561012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006315337,"about_ca_topic_score_gemma":0.009243583,"domain_scores_codex":[0.9942272,0.002540384,0.0005713251,0.000939702,0.001499057,0.0002223759],"domain_scores_gemma":[0.9734626,0.01946311,0.001675782,0.003852666,0.001224852,0.0003208943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003769761,0.0002908975,0.01362643,0.000998272,0.0004406769,0.000799818,0.001318574,0.5162308,0.007219289,0.2323819,0.01056904,0.2157475],"study_design_scores_gemma":[0.0000203766,0.0000279263,0.000399186,0.0000362496,0.00005430076,0.0001435609,0.00007323074,0.8641521,0.001654503,0.1314099,0.002003259,0.00002537999],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01252082,0.0002613968,0.9807355,0.0003806718,0.00002103211,0.00007181305,0.001460729,0.004115765,0.0004323461],"genre_scores_gemma":[0.3637762,0.0008851861,0.6258572,0.0002778571,0.00008397992,0.0003465647,0.006865048,0.0007455455,0.001162398],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006315337,"threshold_uncertainty_score":0.02841949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02113636783946477,"score_gpt":0.3097986633404615,"score_spread":0.2886622955009968,"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."}}