{"id":"W2160989945","doi":"10.1109/igarss.1993.322395","title":"Integration of multispectral and textural analysis applied to SPOT imagery in urban areas","year":2002,"lang":"en","type":"article","venue":"","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Multispectral image; Panchromatic film; Computer science; Multispectral pattern recognition; Artificial intelligence; Remote sensing; Pattern recognition (psychology); Cartography; Geography","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":[0.00005621525,0.00008395118,0.0001550748,0.0003211789,0.00000892064,0.00002249252,0.00003701179,0.00003606309,0.00004903492],"category_scores_gemma":[0.00002741236,0.00007863115,0.00003028633,0.0005669157,0.00001851145,0.00007700431,0.000006958759,0.00006566717,0.0000155262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005236818,"about_ca_system_score_gemma":0.000001094743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004468406,"about_ca_topic_score_gemma":0.0002755494,"domain_scores_codex":[0.9994949,0.000008110961,0.0001908987,0.0001268572,0.00007377866,0.0001054901],"domain_scores_gemma":[0.9997441,0.00002863378,0.00001856024,0.0001499152,0.00002033398,0.0000384194],"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":[0.000009403641,0.00003009439,0.00635656,0.00001976839,0.00007142292,0.00000314165,0.001424058,0.02334405,0.8889287,0.000267263,0.001024615,0.07852092],"study_design_scores_gemma":[0.0001261559,0.00000696928,0.274476,0.000006730091,0.00003259037,0.000001533325,0.00008733472,0.6881712,0.03695121,0.00001831323,0.00002403264,0.0000979253],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.928445,0.00004672712,0.06152492,0.0000729001,0.0000266264,0.0001298887,0.000001489278,0.00009273558,0.009659741],"genre_scores_gemma":[0.9856322,0.000006596619,0.01406988,0.00001288684,0.0000156714,0.000002066012,0.000007666467,0.00001000869,0.0002430458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8519775,"threshold_uncertainty_score":0.3206485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01455143331403803,"score_gpt":0.2117900447888484,"score_spread":0.1972386114748104,"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."}}