{"id":"W2071821890","doi":"10.1145/2522968.2522978","title":"Object class detection","year":2013,"lang":"en","type":"review","venue":"ACM Computing Surveys","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":108,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computer science; Class (philosophy); Object detection; Key (lock); Data science; Object (grammar); Boom; Artificial intelligence; Machine learning; Pattern recognition (psychology); Computer security","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002576297,0.0006006773,0.001451319,0.0003469583,0.0002484673,0.0004372188,0.003513992,0.000386838,0.00001097503],"category_scores_gemma":[0.001011506,0.0005050513,0.0005047775,0.001126126,0.00005727222,0.0005573572,0.002109724,0.0008305953,0.0006545023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001931383,"about_ca_system_score_gemma":0.0001750542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006750954,"about_ca_topic_score_gemma":0.000004890034,"domain_scores_codex":[0.9953881,0.001842712,0.0007990029,0.0009944258,0.0003748242,0.0006009169],"domain_scores_gemma":[0.9950178,0.001636822,0.0006536816,0.002352798,0.0002086521,0.0001302836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[8.785332e-8,0.0000136969,0.000001669073,0.001011178,0.00003146883,0.00001026475,0.00001250456,5.936948e-7,0.000001372927,0.00009066187,0.0003700847,0.9984564],"study_design_scores_gemma":[0.00006303912,0.00009738705,0.00002688703,0.002462165,0.00004852734,0.00009868348,0.000001102292,0.000661145,0.0001756843,0.00138357,0.9942796,0.0007022406],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[4.594847e-7,0.492043,0.5060124,0.000005240102,0.0004794023,0.0003883169,0.000001718659,0.0007934521,0.0002759561],"genre_scores_gemma":[0.00005989681,0.9228612,0.07636233,0.00004757216,0.00030577,0.00003088324,0.00001813895,0.00006317307,0.0002510521],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9977542,"threshold_uncertainty_score":0.9997401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07827523128352543,"score_gpt":0.3657628754005727,"score_spread":0.2874876441170472,"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."}}