{"id":"W4243543857","doi":"10.1109/mise.2013.6595289","title":"MAV-Vis: A notation for model uncertainty","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Notation; Computer science; Programming language; Mathematics; Arithmetic","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":[0.01081113,0.001618861,0.0008366291,0.001929974,0.001090914,0.007472683,0.004901301,0.002334888,0.007245086],"category_scores_gemma":[0.0508755,0.001433237,0.001783584,0.001137251,0.003061095,0.01189339,0.005223422,0.004474825,0.002638449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001226351,"about_ca_system_score_gemma":0.002737644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001240066,"about_ca_topic_score_gemma":0.002151487,"domain_scores_codex":[0.9913682,0.004280123,0.001302539,0.0009587039,0.001843108,0.0002471673],"domain_scores_gemma":[0.9702066,0.01611758,0.002737932,0.007602416,0.002700139,0.0006353201],"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":[0.0002386273,0.0001252184,0.001697793,0.000832549,0.00009122095,0.0003504953,0.003957765,0.0228713,0.008934899,0.8426012,0.02009443,0.09820456],"study_design_scores_gemma":[0.0001326465,0.0003426854,0.0004330967,0.0008445603,0.000107348,0.001078433,0.0008141297,0.1788484,0.0214579,0.5216763,0.2740314,0.0002331853],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002387867,0.00008565749,0.9883483,0.0005545717,0.00008050461,0.0001128197,0.0003889103,0.005308787,0.002732577],"genre_scores_gemma":[0.0658074,0.0002108356,0.9288298,0.000403653,0.00005501979,0.0005105193,0.0008508217,0.001255696,0.002076243],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01081113,"threshold_uncertainty_score":0.05717546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0202346989185614,"score_gpt":0.2573961552306666,"score_spread":0.2371614563121052,"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."}}