{"id":"W7095806747","doi":"","title":"Automatic road extraction from dense urban area by integrated processing of high resolution imagery and LIDAR data","year":2004,"lang":"en","type":"article","venue":"","topic":"Automated Road and Building Extraction","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lidar; Grid; Hough transform; Segmentation; Data set; Urban area; Image segmentation; Set (abstract data type); Image processing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001133672,0.0001458172,0.0001711194,0.00009099289,0.00006390821,0.0000617176,0.0001058858,0.0001227845,0.00005207072],"category_scores_gemma":[0.00004338559,0.0001305728,0.00001537869,0.0001815798,0.00003407863,0.0008470521,0.0000284472,0.0001651333,0.000007632472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009330695,"about_ca_system_score_gemma":0.00002781031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001308307,"about_ca_topic_score_gemma":0.00004214604,"domain_scores_codex":[0.9991909,0.00001511947,0.0002824305,0.0002242697,0.0001373915,0.0001498377],"domain_scores_gemma":[0.9995393,0.00002645417,0.00008415695,0.0002650192,0.00003842577,0.00004667955],"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":[0.00003505854,0.0001735648,0.0004678889,0.0002727734,0.0001080082,0.00001624305,0.0004189359,0.006986734,0.7805579,0.00003320914,0.01482277,0.1961069],"study_design_scores_gemma":[0.0007138074,0.00003737927,0.01725881,0.0004813972,0.0001008248,0.00003929161,0.0002674789,0.8917559,0.08776314,0.0003358546,0.0009142573,0.0003318063],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9211021,0.0008890367,0.07656222,0.00004639401,0.0001624505,0.00009642492,0.00006841049,0.0008498231,0.0002231516],"genre_scores_gemma":[0.9878495,0.0000846366,0.01149101,0.000008748542,0.00004242444,0.000003872658,0.0004530511,0.00002646234,0.00004029085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8847692,"threshold_uncertainty_score":0.5324603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01363652591651294,"score_gpt":0.2333208913209576,"score_spread":0.2196843654044446,"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."}}