{"id":"W2102910550","doi":"10.1017/s0269888913000283","title":"Visuo: A model of visuospatial instantiation of quantitative magnitudes","year":2013,"lang":"en","type":"article","venue":"The Knowledge Engineering Review","topic":"Constraint Satisfaction and Optimization","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of Waterloo","funders":"","keywords":"Python (programming language); Computer science; Artificial intelligence; Brightness; Qualitative reasoning; Cognitive psychology; Natural language processing; Psychology; Programming language","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":[0.0007150208,0.0003990432,0.0004068734,0.0007685489,0.000434417,0.001361604,0.001767865,0.0004677365,0.005707929],"category_scores_gemma":[0.002875393,0.0004188893,0.0008887262,0.0008904711,0.001189667,0.00198745,0.00120136,0.0007711076,0.0004409804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001351688,"about_ca_system_score_gemma":0.001264185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01259918,"about_ca_topic_score_gemma":0.009877807,"domain_scores_codex":[0.9997231,0.00007458985,0.00001383281,0.00007205323,0.00008882549,0.00002759296],"domain_scores_gemma":[0.9993696,0.0002626602,0.00009773797,0.0001107503,0.0001118815,0.00004744793],"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":[0.000121524,0.0000519541,0.001826106,0.0001366919,0.00007487585,0.0001340536,0.0001824269,0.5761412,0.002120746,0.3591044,0.004912205,0.05519394],"study_design_scores_gemma":[0.00001080386,0.000008934237,0.0003716574,0.00001580954,0.000008710205,0.00002749402,0.00001554455,0.882062,0.0007207285,0.1128052,0.003944736,0.000008420045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02447624,0.0002325183,0.9623635,0.0005934422,0.00002685124,0.00004136792,0.0005755644,0.001315173,0.01037539],"genre_scores_gemma":[0.6639277,0.000462317,0.3283294,0.000224584,0.00004222979,0.0002234821,0.0008068221,0.0003711588,0.005612247],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01259918,"threshold_uncertainty_score":0.02505165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02140722942719867,"score_gpt":0.2619179148465781,"score_spread":0.2405106854193794,"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."}}