{"id":"W2159984217","doi":"10.1109/igarss.1989.578890","title":"High Resolution Satellite Image Texture for Moderate Relief Terrain Analysis","year":2005,"lang":"en","type":"article","venue":"","topic":"Satellite Image Processing and Photogrammetry","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Terrain; Remote sensing; Satellite; Image texture; Image resolution; Computer science; Computer vision; Texture (cosmology); Geology; Artificial intelligence; Image (mathematics); Image segmentation; Geography; Cartography; Astronomy; Physics","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":[0.0002104594,0.0001916732,0.0002391582,0.0002520085,0.00009406151,0.0001529502,0.0001202589,0.0001239187,0.0001105322],"category_scores_gemma":[0.00001818921,0.0001746507,0.0001712099,0.0006545145,0.00002710059,0.0002296304,0.00001172529,0.000141193,0.0000539567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006036585,"about_ca_system_score_gemma":0.00000844661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006889949,"about_ca_topic_score_gemma":0.000120232,"domain_scores_codex":[0.9990084,0.00001601491,0.0002643692,0.0002457187,0.0001187743,0.0003467044],"domain_scores_gemma":[0.9994955,0.00005690253,0.00002877163,0.0002586377,0.00007412412,0.00008605162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001135212,0.00008383793,0.000115562,0.0002134511,0.0007729319,0.000003622059,0.0007979654,0.1776905,0.03056585,0.0003738301,0.006592742,0.7826762],"study_design_scores_gemma":[0.0003604816,0.0000201702,0.0002457257,0.00001280412,0.000264761,0.000003721485,0.00004609968,0.8935428,0.05016696,0.0005386599,0.05446983,0.0003280256],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01553057,0.00465461,0.9691793,0.0003541198,0.0001331935,0.0002165441,0.00004358591,0.0009917284,0.008896353],"genre_scores_gemma":[0.8030143,0.0004170311,0.194268,0.0001960783,0.0002433469,0.00003674243,0.0001409739,0.00004375012,0.001639778],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7874838,"threshold_uncertainty_score":0.7122049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008027184888121094,"score_gpt":0.2348350323469837,"score_spread":0.2268078474588626,"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."}}