{"id":"W2790433324","doi":"10.1109/ipta.2017.8310138","title":"A new change detector in heterogeneous remote sensing imagery","year":2017,"lang":"en","type":"article","venue":"","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Computer Research Institute of Montréal","funders":"","keywords":"Robustness (evolution); Thresholding; Computer science; Artificial intelligence; Change detection; Pattern recognition (psychology); Computer vision; Detector; Modality (human–computer interaction); Image (mathematics)","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":[0.001244243,0.0005095833,0.0009725782,0.001822429,0.000283224,0.0008082784,0.0009513194,0.001218063,0.0006868191],"category_scores_gemma":[0.001949961,0.0002973767,0.0006403435,0.0010196,0.0007991773,0.001360559,0.0007970788,0.0007553552,0.0003360765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004215552,"about_ca_system_score_gemma":0.0004131105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005481521,"about_ca_topic_score_gemma":0.0007650527,"domain_scores_codex":[0.9991492,0.0001269424,0.00003688572,0.0002386861,0.0003881991,0.00006010399],"domain_scores_gemma":[0.9993079,0.0002435481,0.00008655482,0.0000644009,0.0002398232,0.00005772666],"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":[0.0004294769,0.0002285722,0.003207638,0.0003049628,0.0001603627,0.0003445696,0.0001408548,0.07201293,0.2764663,0.01075877,0.002399612,0.6335459],"study_design_scores_gemma":[0.00001701987,0.0001822074,0.002948961,0.00000971748,0.00004306938,0.0003325987,0.00002948147,0.9425412,0.04835436,0.002595991,0.002904919,0.00004054971],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02555603,0.0001706501,0.9733186,0.00008194475,0.00004481731,0.00006124322,0.00004970082,0.0002502554,0.0004666976],"genre_scores_gemma":[0.2439558,0.0001668461,0.7538124,0.0001365803,0.00008760969,0.0001367187,0.0001783145,0.00006616255,0.001459564],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001822429,"threshold_uncertainty_score":0.006580293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04729750135518632,"score_gpt":0.2608887905236487,"score_spread":0.2135912891684623,"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."}}