{"id":"W2261188167","doi":"","title":"Urban Classification Of High Resolution Ikonos Imagery Using Texture","year":2006,"lang":"en","type":"article","venue":"Proceedings of the Joint CIB W78, W102, ICCCBE, ICCC, and DMUCE International Conference on Computing and Decision Making in Civil and Building Engineering, Montreal, Canada, 14-16 June","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Land cover; Remote sensing; Artificial intelligence; Pattern recognition (psychology); Image resolution; Texture (cosmology); Computer science; Geography; Computer vision; Land use; Image (mathematics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003144394,0.0003718299,0.0003345757,0.002630292,0.0001597854,0.0006618517,0.0002159056,0.0002477081,0.0008342154],"category_scores_gemma":[0.0008840545,0.0001221466,0.0003734215,0.001425289,0.0002461469,0.000460343,0.000309463,0.0001990246,0.0005246461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003520143,"about_ca_system_score_gemma":0.0001961662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007507084,"about_ca_topic_score_gemma":0.009024393,"domain_scores_codex":[0.9997726,0.00003365415,0.000014462,0.00003828397,0.0000966013,0.00004438304],"domain_scores_gemma":[0.9996557,0.00008508396,0.00005767053,0.00005144579,0.0001210406,0.0000290496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001776827,0.0005142618,0.09798178,0.0004352405,0.0001939408,0.0005286554,0.0003407853,0.0917014,0.2431093,0.001369762,0.005316147,0.5567319],"study_design_scores_gemma":[0.0000843815,0.000220407,0.2499693,0.00003972045,0.0001120147,0.0003756143,0.0007981826,0.696118,0.04741569,0.001335765,0.003466651,0.00006438019],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9272034,0.0001605339,0.06642522,0.0001319091,0.00003272296,0.0001014083,0.001925789,0.0008349741,0.003184159],"genre_scores_gemma":[0.9584165,0.0001109818,0.03762867,0.00002444028,0.00001846928,0.00003100852,0.002986879,0.00003391078,0.0007491102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007507084,"threshold_uncertainty_score":0.01492679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0154218774393304,"score_gpt":0.2285987706468303,"score_spread":0.2131768932074999,"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."}}