{"id":"W2311229452","doi":"","title":"OBJECT-BASED LAND COVER CLASSIFICATION OF URBAN AREAS USING VHR IMAGERY AND PHOTOGRAMMETRICALLY-DERIVED DSM","year":2011,"lang":"en","type":"article","venue":"","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Land cover; Multispectral image; Remote sensing; Computer science; Lidar; Orthophoto; Geography; Artificial intelligence; Cartography; Land use","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003635934,0.0004768467,0.0004116956,0.003500297,0.0002497899,0.0008660681,0.0004543406,0.0003404386,0.0007784468],"category_scores_gemma":[0.0003633416,0.0001950828,0.0005154948,0.001164736,0.0003038832,0.0006334668,0.0005086828,0.0001912065,0.0005449174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004302475,"about_ca_system_score_gemma":0.0003420196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008108286,"about_ca_topic_score_gemma":0.01098207,"domain_scores_codex":[0.9997303,0.00002739399,0.00001710014,0.00005411516,0.0001354811,0.00003561491],"domain_scores_gemma":[0.9997949,0.00002291937,0.00002674154,0.00003735482,0.0001021835,0.00001601758],"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":[0.0001878146,0.0003421735,0.02944851,0.0002644904,0.0001780387,0.0002432588,0.0003022339,0.05789796,0.1259179,0.002137327,0.001890406,0.7811899],"study_design_scores_gemma":[0.00003232994,0.0001619203,0.0971982,0.00003859761,0.0001344086,0.0003149384,0.0005146132,0.8443626,0.05093229,0.001449986,0.004786358,0.00007371518],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4100752,0.0005345782,0.578316,0.00009426807,0.00006596254,0.0003306895,0.001026744,0.002486299,0.007070174],"genre_scores_gemma":[0.7098047,0.0002651593,0.2856792,0.00004495707,0.00002498115,0.00007706178,0.001809332,0.00005972788,0.00223483],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008108286,"threshold_uncertainty_score":0.01612216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04580082334187916,"score_gpt":0.2296067181836122,"score_spread":0.183805894841733,"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."}}