{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00110686,0.00005977885,0.00008972498,0.00007015822,0.0001760783,0.0001016109,0.0008792107,0.00003238987,0.000002815385],"category_scores_gemma":[0.0001307195,0.00005350302,0.00001505128,0.0001688155,0.00005832596,0.0004840555,0.0002969282,0.001051234,0.000001648944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001464804,"about_ca_system_score_gemma":0.0005409131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001330489,"about_ca_topic_score_gemma":0.0003646694,"domain_scores_codex":[0.9987882,0.00002559483,0.0002135125,0.0002430083,0.0001667493,0.0005628945],"domain_scores_gemma":[0.9991411,0.00008470031,0.00005820148,0.0005832625,0.0000585128,0.00007424971],"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":[0.000001070083,0.00002493591,0.0001978892,0.000001308937,0.00001693362,7.297082e-7,0.00004737331,0.00004163038,0.0006546903,0.9241216,0.00003091006,0.07486098],"study_design_scores_gemma":[0.0001219156,0.00002594997,0.0002102749,0.000003487305,0.000009211992,0.0002917784,0.0001190433,0.7017114,0.00001453875,0.2973209,0.0001146709,0.00005685418],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04840089,0.0001324142,0.9504671,0.0007808587,0.00006757372,0.00003505368,0.00002189542,0.00001853702,0.0000757249],"genre_scores_gemma":[0.8346937,0.0003980147,0.1647778,0.00001776626,0.00007037587,0.000002010099,0.00001838676,0.000004865334,0.00001714574],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7862928,"threshold_uncertainty_score":0.4567146,"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."}}