{"id":"W2112824482","doi":"","title":"Texture-Integrated Classification of Urban Treed Areas in High-Resolution Color-Infrared Imagery","year":2001,"lang":"en","type":"article","venue":"Photogrammetric Engineering & Remote Sensing","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Multispectral image; Artificial intelligence; Computer science; Remote sensing; Texture (cosmology); Pattern recognition (psychology); Variance (accounting); Pixel; Geography; Computer vision; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005216913,0.0004967126,0.0006366311,0.002225822,0.00005991829,0.0000988356,0.0002152341,0.0003373319,0.000007551858],"category_scores_gemma":[0.0009263561,0.0005712381,0.0001676713,0.00549545,0.00007587765,0.0002712515,0.00003143187,0.0006134195,0.00002009893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007940426,"about_ca_system_score_gemma":0.00005305209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001221839,"about_ca_topic_score_gemma":0.0001182552,"domain_scores_codex":[0.9972246,0.00008076923,0.0009832446,0.000518228,0.0004546495,0.000738527],"domain_scores_gemma":[0.9982955,0.0003291189,0.0002089118,0.0007140497,0.0002759453,0.0001764717],"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":[0.00006025598,0.00004880389,0.0003553268,0.0001552736,0.00006281512,0.00007734817,0.0002188244,0.1015249,0.6803036,0.00003262328,0.0003503429,0.2168099],"study_design_scores_gemma":[0.0007385135,0.00003781982,0.03028604,0.0002698986,0.00004632508,0.00008221061,0.00009075831,0.9360428,0.03004871,0.00004136617,0.001835346,0.0004801451],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4823624,0.0003687247,0.5141507,0.00003247466,0.0005945529,0.000441311,0.000006848484,0.0008616344,0.001181364],"genre_scores_gemma":[0.9476154,0.0001671153,0.05168908,0.000012115,0.0001369324,8.634976e-7,0.0001267135,0.00014977,0.0001019634],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.834518,"threshold_uncertainty_score":0.9996739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01415191255596017,"score_gpt":0.2148823473448545,"score_spread":0.2007304347888943,"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."}}