{"id":"W4327565197","doi":"10.1016/j.srs.2023.100082","title":"De-noised and contrast enhanced KH-9 HEXAGON mapping and panoramic camera images for urban research","year":2023,"lang":"en","type":"article","venue":"Science of Remote Sensing","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Contrast (vision); Computer vision; Artificial intelligence; Art; Computer science; Computer graphics (images)","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":[0.0004406262,0.0003624765,0.0002739671,0.001176164,0.0001912436,0.0005936504,0.0002983408,0.000383324,0.004460515],"category_scores_gemma":[0.0009415353,0.0002010691,0.0003137492,0.001278077,0.0002886651,0.0005894239,0.0004571041,0.0005171401,0.001199844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003660964,"about_ca_system_score_gemma":0.0007967474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003744801,"about_ca_topic_score_gemma":0.01054004,"domain_scores_codex":[0.9997671,0.0000329291,0.000007071606,0.00004271563,0.0001161658,0.00003395254],"domain_scores_gemma":[0.9997053,0.00004427179,0.00002261529,0.00006344775,0.0001394711,0.00002492439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008106771,0.0001224169,0.008256515,0.0006193216,0.0001086422,0.0006630286,0.000367246,0.04346237,0.1702,0.008929124,0.01999826,0.7464623],"study_design_scores_gemma":[0.0001007606,0.0004427695,0.1274226,0.0001693865,0.0001513124,0.002703875,0.0008676342,0.4589899,0.2612745,0.009303595,0.1383482,0.0002255109],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.334543,0.001285658,0.6196777,0.001183088,0.0003406537,0.0004351961,0.003672945,0.006304983,0.03255665],"genre_scores_gemma":[0.5493816,0.001148114,0.4333845,0.0002156298,0.00008785087,0.0001115879,0.003990663,0.0004342675,0.01124583],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004460515,"threshold_uncertainty_score":0.0149219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02820166268990716,"score_gpt":0.3092457611526246,"score_spread":0.2810440984627174,"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."}}