{"id":"W2054303704","doi":"10.1109/igarss.2010.5649342","title":"Remote sensing image synthesis","year":2010,"lang":"en","type":"article","venue":"","topic":"Satellite Image Processing and Photogrammetry","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Remote sensing; Image (mathematics); Computer vision; Geology","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":[0.0000977834,0.00008839735,0.00007920901,0.00005369667,0.00003858384,0.00008201334,0.00006463259,0.00005956222,0.0002282251],"category_scores_gemma":[0.00008348878,0.00008128426,0.00003355555,0.0001304554,0.00002803467,0.00007266591,0.000008960916,0.0002023131,0.0001939686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005088701,"about_ca_system_score_gemma":0.000004726102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006745414,"about_ca_topic_score_gemma":0.00002376983,"domain_scores_codex":[0.9995759,0.000004666113,0.00008884008,0.00009230988,0.00006456166,0.0001737972],"domain_scores_gemma":[0.9996477,0.00008423247,0.000006922979,0.0001777138,0.0000244668,0.00005897289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[6.704093e-7,0.000001172216,0.00001019151,0.00002312527,0.000005515796,0.000005612172,0.0000265995,0.000005459921,0.3741985,0.000004435541,0.0004341289,0.6252846],"study_design_scores_gemma":[0.00003947995,0.000001650762,0.00007757761,0.00001439798,0.000009915309,0.00003984206,0.00002684576,0.1777257,0.8043262,0.0003704658,0.01719954,0.0001683459],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2722176,0.0001946854,0.3997554,0.0001034108,0.001127129,0.00007015371,0.000002791678,0.002345614,0.3241831],"genre_scores_gemma":[0.7090371,0.00001508028,0.2905661,0.00004753103,0.00009909291,1.233603e-7,6.846211e-7,0.00002739277,0.0002068593],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6251162,"threshold_uncertainty_score":0.3314676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006549420573421336,"score_gpt":0.2156962176881235,"score_spread":0.2091467971147022,"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."}}