{"id":"W2184834289","doi":"","title":"THE EFFECT OF FOUR NEW MULTISPECTRAL BANDS OF WORLDVIEW2 ON IMPROVING URBAN LAND COVER CLASSIFICATION","year":2012,"lang":"en","type":"article","venue":"","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Impervious surface; Land cover; Multispectral image; Spectral bands; Remote sensing; Pattern recognition (psychology); Contextual image classification; Feature (linguistics); Data set; Computer science; Artificial intelligence; Set (abstract data type); Class (philosophy); Geography; Image (mathematics); Land use; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000338434,0.0001194323,0.0001579114,0.000056906,0.00003554635,0.00001845184,0.00009970843,0.00005703196,0.00001514889],"category_scores_gemma":[0.000145668,0.00007890443,0.00006376506,0.0001379059,0.00003547575,0.0001270685,0.000009343774,0.0001118564,0.00003395087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008363553,"about_ca_system_score_gemma":0.00001239366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004125772,"about_ca_topic_score_gemma":0.00001111103,"domain_scores_codex":[0.9992688,0.0000503117,0.000249083,0.00009200482,0.0001397389,0.0002000744],"domain_scores_gemma":[0.9991425,0.0003437186,0.00008849588,0.0003378655,0.00002680367,0.00006063771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001003116,0.00002327331,0.05510261,0.0002202019,0.00007723722,2.758995e-7,0.0002899725,0.002996956,0.7518426,0.0008097261,0.0080812,0.1804557],"study_design_scores_gemma":[0.0008333234,0.0002017521,0.3000022,0.00007107102,0.00005707836,0.00000383351,0.00001424009,0.2754904,0.4189731,0.00001272172,0.004143894,0.0001964864],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9566991,0.0004674518,0.02467509,0.0001224883,0.0006857686,0.0004649911,0.000002965051,0.0001860446,0.01669606],"genre_scores_gemma":[0.9978161,0.00002188096,0.0009336242,0.000004454536,0.000147434,0.000002242641,0.000004331099,0.00002553257,0.001044398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3328695,"threshold_uncertainty_score":0.3217629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01501676058080853,"score_gpt":0.2280172848277662,"score_spread":0.2130005242469577,"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."}}