{"id":"W1020965842","doi":"","title":"MODEL-BASED AUTOMATIC 3D BUILDING MODEL GENERATION BY INTEGRATING LIDAR AND AERIAL IMAGES","year":2011,"lang":"en","type":"article","venue":"Archives of Photogrammetry Cartography and Remote Sensing","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Calgary","funders":"","keywords":"Computer science; Lidar; Model building; Data mining; Artificial intelligence; Remote sensing","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":[0.0001880959,0.000238154,0.0002678435,0.0001830682,0.0003286345,0.00005398187,0.0000920292,0.00008063599,0.000004738456],"category_scores_gemma":[0.0000269603,0.0002189689,0.0001185378,0.0003032068,0.0007001853,0.0001055516,0.00008607921,0.0001819221,5.287416e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000971756,"about_ca_system_score_gemma":0.00001432251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002803398,"about_ca_topic_score_gemma":0.0001471974,"domain_scores_codex":[0.9986401,0.00008559909,0.0003380836,0.0004480008,0.0001831578,0.0003050555],"domain_scores_gemma":[0.9993002,0.00008700226,0.0001695385,0.0002772599,0.00001190692,0.000154101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001139237,0.0000202527,0.000132386,0.00001821763,0.0000146263,8.041068e-7,0.001217781,0.0008064359,0.5136372,0.00001258572,0.00002850915,0.4840998],"study_design_scores_gemma":[0.0002670364,0.00005047621,0.0001873923,0.00005960277,0.00005326347,0.00001240734,0.0001427237,0.8799341,0.1168394,0.002215514,0.00002706587,0.0002110569],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4993133,0.00008290628,0.4975921,0.00001823279,0.00002517961,0.0001495368,0.00000876509,0.00004827143,0.002761733],"genre_scores_gemma":[0.5668346,0.00003826274,0.4330291,0.00005138859,0.00001496693,1.184566e-7,0.000008792969,0.00001558188,0.000007195569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8791277,"threshold_uncertainty_score":0.8929293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01430352487479095,"score_gpt":0.2244444627480815,"score_spread":0.2101409378732906,"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."}}