{"id":"W2883774581","doi":"10.1117/1.jrs.12.036002","title":"Adaptive landmine detection and localization system based on incremental one-class classification","year":2018,"lang":"en","type":"article","venue":"Journal of Applied Remote Sensing","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Artificial intelligence; Class (philosophy); Computer vision; Contextual image classification; Remote sensing; Pattern recognition (psychology); One-class classification; Support vector machine; Image (mathematics); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002909412,0.0005514443,0.0007599722,0.0005621867,0.0003806149,0.0005317138,0.001422087,0.0005405837,0.001031082],"category_scores_gemma":[0.000854243,0.000256025,0.0004548496,0.000470896,0.0002652804,0.0008196595,0.0007968712,0.0006284653,0.0004143624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003434368,"about_ca_system_score_gemma":0.0006318938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003345197,"about_ca_topic_score_gemma":0.003243057,"domain_scores_codex":[0.9996928,0.00002562013,0.00001388005,0.0001058362,0.000108854,0.00005317683],"domain_scores_gemma":[0.999566,0.00008012381,0.00005502424,0.00006684898,0.0001920201,0.00003993166],"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":[0.0004814008,0.0002759071,0.006523688,0.0001296387,0.00007739715,0.0003143574,0.0001909468,0.1055449,0.08812242,0.001538031,0.00413382,0.7926674],"study_design_scores_gemma":[0.00001922663,0.00009175248,0.001796939,0.000004819352,0.00002153364,0.0001221125,0.00002702098,0.9835911,0.01260186,0.000736697,0.0009683556,0.00001852545],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1286283,0.0003005181,0.8637285,0.0002125202,0.0001292706,0.0001100028,0.0001230787,0.004256611,0.002511227],"genre_scores_gemma":[0.8268063,0.0001315206,0.1700651,0.000194059,0.00005199554,0.0001266755,0.0002962071,0.00006191087,0.002266112],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003345197,"threshold_uncertainty_score":0.006651461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02089399506860045,"score_gpt":0.2346403132909254,"score_spread":0.213746318222325,"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."}}