{"id":"W2038552727","doi":"10.1109/igarss.2007.4423372","title":"Change detection of buildings in urban environment from high spatial resolution satellite images using existing cartographic data and prior knowledge","year":2007,"lang":"en","type":"article","venue":"","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Change detection; Computer science; Process (computing); Remote sensing; Image resolution; Object detection; Spatial analysis; Computer vision; Geography; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004074305,0.0003165887,0.000407249,0.003581926,0.0002395189,0.0007948228,0.0003643604,0.0004403915,0.0005737331],"category_scores_gemma":[0.0009168997,0.0002667974,0.0004629582,0.001478756,0.0004801867,0.0009306924,0.0003985562,0.0002983544,0.0003173027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002955505,"about_ca_system_score_gemma":0.0002718761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002651004,"about_ca_topic_score_gemma":0.005391554,"domain_scores_codex":[0.9997488,0.00003229021,0.00001332111,0.00006623271,0.0001098862,0.00002946207],"domain_scores_gemma":[0.9996593,0.0001170914,0.00006380969,0.00004903436,0.00008617468,0.00002466708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002345904,0.0002996082,0.02971621,0.0004163839,0.0001445607,0.0003889636,0.0004666357,0.04074014,0.09326658,0.002523015,0.0009597918,0.8308435],"study_design_scores_gemma":[0.0000350913,0.0002670353,0.2031722,0.00009293813,0.0002836104,0.001111148,0.0008636099,0.7006161,0.08109199,0.004658822,0.007717021,0.00009047736],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3632582,0.0007321859,0.6310755,0.0001682317,0.00003965015,0.0001351518,0.0002954213,0.0009644566,0.003331268],"genre_scores_gemma":[0.6956223,0.0007744188,0.3019371,0.00003428957,0.00003943015,0.0000401295,0.0005616479,0.00004116216,0.0009494468],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003581926,"threshold_uncertainty_score":0.005271077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05827173070775962,"score_gpt":0.2619838098343505,"score_spread":0.2037120791265909,"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."}}