{"id":"W2003570164","doi":"10.1016/j.cogsys.2008.08.001","title":"Brain activation detection by neighborhood one-class SVM","year":2008,"lang":"en","type":"article","venue":"Cognitive Systems Research","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Support vector machine; Hyperplane; Pattern recognition (psychology); Artificial intelligence; Computer science; Cluster analysis; Fuzzy logic; Voxel; Kernel (algebra); Class (philosophy); Consistency (knowledge bases); Data mining; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009124551,0.0001282435,0.0001572344,0.0003395391,0.0009075138,0.0001816714,0.0004814382,0.0001429674,0.00001703139],"category_scores_gemma":[0.0003231031,0.0001324697,0.00005619458,0.001455653,0.000161593,0.0005571812,0.0001900271,0.0004649113,0.0003133982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001882977,"about_ca_system_score_gemma":0.0001014724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000276539,"about_ca_topic_score_gemma":0.000005224638,"domain_scores_codex":[0.997535,0.0004702451,0.0002658466,0.0005443062,0.0007638754,0.0004207396],"domain_scores_gemma":[0.9978095,0.0005665176,0.00009478386,0.0003977425,0.0009865632,0.0001449008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008704054,0.000879952,0.0009413529,0.0001333587,0.0001460233,0.0000230469,0.001663904,0.00001006799,0.5156612,0.05020956,0.04251622,0.3877283],"study_design_scores_gemma":[0.001260572,0.001095686,0.006045967,0.0002400276,0.000007279458,0.0001783294,0.0009519358,0.06288087,0.8498744,0.003413783,0.07328445,0.0007666842],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02217558,0.0001245657,0.9603502,0.0008185953,0.00008113183,0.0009467764,0.00001129433,0.0003975997,0.01509423],"genre_scores_gemma":[0.9956118,0.00004567506,0.0002186191,0.00009154821,0.0001495775,0.0007811139,0.00001126954,0.00001789066,0.003072497],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9734362,"threshold_uncertainty_score":0.6979954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1021953730155633,"score_gpt":0.3559179362765997,"score_spread":0.2537225632610364,"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."}}