{"id":"W3005405621","doi":"","title":"A multiresolution modelling approach for semi-automatic extraction of streets: application to high resolution images from the IKONOS satellite","year":2001,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Automated Road and Building Extraction","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Satellite; Computer science; Extraction (chemistry); High resolution; Feature extraction; Computer vision; Remote sensing; Satellite image; Artificial intelligence; Image resolution; Data mining; Geography; Engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00219642,0.0003581737,0.0003793701,0.0001879286,0.0002876576,0.0001838265,0.0006565782,0.0004099135,0.00001073508],"category_scores_gemma":[0.0002932656,0.0003477905,0.0001943223,0.0003724888,0.00007844096,0.0002107978,0.0002148152,0.0005142157,0.000009056944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002911205,"about_ca_system_score_gemma":0.00006162896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003144384,"about_ca_topic_score_gemma":0.0002891953,"domain_scores_codex":[0.9970752,0.0008833599,0.0007356391,0.0006248772,0.000355784,0.0003251489],"domain_scores_gemma":[0.9960395,0.001111445,0.0004932425,0.001383725,0.0008734873,0.00009862244],"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":[0.00002295389,0.0002627876,0.000102533,0.0003574562,0.0001152666,2.698341e-7,0.002740817,0.8262839,0.03302832,0.001557295,0.0005398856,0.1349885],"study_design_scores_gemma":[0.0002796086,5.671582e-7,0.001421056,0.0008799726,0.0001030748,0.00000262016,0.0001620429,0.9546058,0.03936556,0.001225346,0.001645581,0.0003088282],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1055219,0.001637147,0.8888003,0.0006172929,0.0002125032,0.001336623,0.0002202919,0.0006769007,0.0009770129],"genre_scores_gemma":[0.7947682,0.001436068,0.2014205,0.00001350708,0.00007583989,0.0002346694,0.001837965,0.00006943507,0.0001439257],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6892462,"threshold_uncertainty_score":0.9998974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01459992935429798,"score_gpt":0.2266757169608882,"score_spread":0.2120757876065902,"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."}}