{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001539808,0.0001574251,0.000203464,0.0002546799,0.00003688032,0.00003593203,0.00008074618,0.0001075396,0.00009114618],"category_scores_gemma":[0.0001268745,0.0001535746,0.00005119606,0.0003836744,0.0001032549,0.0001509403,0.00001429,0.0001063935,0.00002557257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007159154,"about_ca_system_score_gemma":0.00003207816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001754684,"about_ca_topic_score_gemma":0.000009555777,"domain_scores_codex":[0.9990906,0.00003717619,0.0003031921,0.0002204417,0.000157386,0.0001912277],"domain_scores_gemma":[0.9992669,0.00009960125,0.00008793817,0.0003407586,0.0001205584,0.00008419224],"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":[0.00003212468,0.00006551349,0.02155541,0.0001006293,0.0000384906,0.000004125999,0.0002258572,0.00038167,0.9710463,0.00003769236,0.0005179123,0.005994289],"study_design_scores_gemma":[0.0004851593,0.00002396017,0.1861037,0.00003700591,0.00004890051,0.000007736806,0.00004676173,0.5729166,0.2398218,0.0000382926,0.0002341057,0.0002359855],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7770113,0.00009221636,0.2091399,0.00001200314,0.0001257885,0.0002211426,0.00000528007,0.0002586861,0.01313365],"genre_scores_gemma":[0.9690753,0.00001543032,0.03073244,0.00002333629,0.0000252783,0.000002385534,0.00001473361,0.00003891594,0.00007224648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7312245,"threshold_uncertainty_score":0.6262591,"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."}}