{"id":"W3121081157","doi":"10.12000/jr20118","title":"Change Detection Method Based on Fusion Difference Map in Flood Disaster","year":2020,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Change detection; Synthetic aperture radar; Flood myth; Remote sensing; Markov random field; Entropy (arrow of time); Computer science; Cluster analysis; Segmentation; Image segmentation; Geography; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001039286,0.0004042573,0.0006338559,0.002496307,0.0004856333,0.000769767,0.0007328326,0.0005802778,0.0008105904],"category_scores_gemma":[0.00235634,0.0003958096,0.0006575139,0.001260459,0.0005256903,0.001560725,0.0009914387,0.0004502263,0.0002370596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004393508,"about_ca_system_score_gemma":0.0004825199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002267519,"about_ca_topic_score_gemma":0.001296283,"domain_scores_codex":[0.9992709,0.00009319309,0.00004324171,0.000191074,0.000320573,0.00008108293],"domain_scores_gemma":[0.9992086,0.0002613821,0.00007643988,0.00008471652,0.0003196107,0.00004928312],"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":[0.0008033106,0.0001888274,0.01748787,0.0002194505,0.0001509693,0.0006070734,0.0007772385,0.1133392,0.06502619,0.005685211,0.001797543,0.7939171],"study_design_scores_gemma":[0.0000422559,0.0001587678,0.0124039,0.00001190803,0.00005772701,0.000452133,0.0001519956,0.9510118,0.03075998,0.003077902,0.001808356,0.00006330326],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1832625,0.0002200596,0.8136502,0.00009492523,0.00006566017,0.00008532868,0.0000745587,0.001115232,0.00143158],"genre_scores_gemma":[0.7891084,0.0001548158,0.2091766,0.00004112372,0.00003147086,0.00006815675,0.0001682463,0.00006390308,0.001187328],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002496307,"threshold_uncertainty_score":0.005496323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3268293949460406,"score_gpt":0.5079570978776721,"score_spread":0.1811277029316315,"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."}}