{"id":"W4402210587","doi":"10.2139/ssrn.4946996","title":"Dadigan: A Dual Attention Blocks-Based Disentangled Iterative Generative Adversarial Network for Cloud and Shadow Removal on Sar and Optical Images","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Advanced Image Fusion Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Shadow (psychology); Dual (grammatical number); Generative grammar; Generative adversarial network; Computer science; Cloud computing; Adversarial system; Artificial intelligence; Computer vision; Image (mathematics); Psychology; Art","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","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0007449688,0.0005463434,0.0005376037,0.0001964316,0.0002334044,0.0002963734,0.0001510743,0.0003163118,0.000009786956],"category_scores_gemma":[0.00008377779,0.000507318,0.0002162093,0.0001142283,0.0001240391,0.0001141871,0.0002268335,0.003795889,0.00000223272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001002343,"about_ca_system_score_gemma":0.0005190428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004147484,"about_ca_topic_score_gemma":0.00004986393,"domain_scores_codex":[0.997084,0.00008627385,0.0004827824,0.000583416,0.0002789516,0.00148461],"domain_scores_gemma":[0.9992116,0.0001665112,0.0001396415,0.0002157288,0.0001149362,0.0001515539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00812063,0.000696,0.0003094784,0.002489061,0.008928506,0.001430644,0.002248937,0.218697,0.109501,0.3109685,0.0359257,0.3006846],"study_design_scores_gemma":[0.003385564,0.001788729,0.00006387486,0.001406217,0.0007455536,0.001223631,0.0003849441,0.1848907,0.01297413,0.7900614,0.001549955,0.001525328],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1852513,0.01761732,0.7893233,0.001427876,0.002717282,0.002049466,0.0002855077,0.0007521223,0.0005758359],"genre_scores_gemma":[0.8860031,0.007514766,0.09634177,0.0001821217,0.00813883,0.0001867645,0.0002920748,0.0003583835,0.0009822021],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7007518,"threshold_uncertainty_score":0.9997379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006666634280787794,"score_gpt":0.2506754274590271,"score_spread":0.2440087931782393,"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."}}