{"id":"W2146341469","doi":"10.3138/carto.49.4.2522","title":"Visual Acceptance of Library-Generated CityGML LOD3 Building Models","year":2014,"lang":"en","type":"article","venue":"Cartographica The International Journal for Geographic Information and Geovisualization","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University; McMaster University","funders":"","keywords":"CityGML; Visualization; Computer science; Focus group; Quality (philosophy); Focus (optics); Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.00273736,0.0003208726,0.0002628957,0.001152832,0.0004319903,0.002872789,0.0007289182,0.0005924773,0.01425228],"category_scores_gemma":[0.0140826,0.0002152936,0.000538904,0.0009106251,0.0003416877,0.001064181,0.001790765,0.0004125648,0.002449975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008414745,"about_ca_system_score_gemma":0.0004639209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00583345,"about_ca_topic_score_gemma":0.0083387,"domain_scores_codex":[0.9987075,0.0005970055,0.00005188182,0.00008674148,0.0004603509,0.00009646351],"domain_scores_gemma":[0.9933523,0.004100531,0.000250428,0.000951917,0.001090941,0.0002538598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.005967176,0.001187549,0.09010201,0.003072214,0.0002434445,0.003344356,0.09649416,0.05511017,0.05914855,0.01182773,0.04830364,0.6251991],"study_design_scores_gemma":[0.0007023306,0.002435963,0.2815939,0.001302221,0.0003528251,0.002102294,0.07459419,0.194628,0.05229653,0.007580454,0.3815381,0.0008731848],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9073756,0.0001279731,0.02336003,0.0004573723,0.00007311584,0.0003092896,0.002352571,0.004659011,0.06128504],"genre_scores_gemma":[0.9796286,0.00008200025,0.01114944,0.00006101969,0.0000140979,0.0001112539,0.001327572,0.0007035029,0.006922487],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01425228,"threshold_uncertainty_score":0.04767859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01231374010977154,"score_gpt":0.2446932593933401,"score_spread":0.2323795192835685,"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."}}