{"id":"W2315349446","doi":"10.5623/cig2014-001","title":"Supervised Change Detection in Satellite Imagery Using Super Pixels and Relevance Feedback","year":2014,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Change detection; Computer science; Relevance feedback; Pixel; Relevance (law); Artificial intelligence; Support vector machine; Data mining; Pattern recognition (psychology); Classifier (UML); Remote sensing; Machine learning; Computer vision; Image (mathematics); Image retrieval; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000218616,0.0001335925,0.000165762,0.0001215921,0.00004075046,0.00005964579,0.00005167742,0.00007845258,0.000008683988],"category_scores_gemma":[0.0001694095,0.0001441303,0.00002212474,0.0002149572,0.00004329251,0.0003011659,0.00001756388,0.0001157304,0.0000623037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007496112,"about_ca_system_score_gemma":0.000003674669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000280947,"about_ca_topic_score_gemma":0.00002476483,"domain_scores_codex":[0.9992036,0.00004945178,0.0002289408,0.000177372,0.0001042609,0.0002364233],"domain_scores_gemma":[0.9995084,0.0001294937,0.00002345843,0.0002577482,0.00002909546,0.00005181532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006810636,0.00001200057,0.0008063093,0.0002795498,0.000008025531,0.000003406637,0.0008535591,0.000455217,0.6126223,0.00001580402,0.00001089447,0.3849261],"study_design_scores_gemma":[0.0002897824,0.00001319655,0.07065681,0.0001437133,0.00001210218,0.000023858,0.00005353951,0.9010479,0.02619286,0.0003062367,0.001037873,0.0002220934],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9743265,0.0002977273,0.02396253,0.00008367414,0.0001828605,0.0001999898,0.000001028854,0.0001879515,0.0007577644],"genre_scores_gemma":[0.9863404,0.0001700271,0.01327257,0.00004449336,0.0001048101,0.0000058828,0.00000360561,0.00003941607,0.00001878456],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9005927,"threshold_uncertainty_score":0.5877463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02709763729620798,"score_gpt":0.2212768051666282,"score_spread":0.1941791678704202,"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."}}