{"id":"W4282051893","doi":"10.4108/eai.9-6-2022.174181","title":"Review on One-Stage Object Detection Based on Deep Learning","year":2022,"lang":"en","type":"article","venue":"ICST Transactions on e-Education and e-Learning","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Deep learning; Artificial intelligence; Object detection; Computer science; Object (grammar); Field (mathematics); Internet of Things; Object-class detection; Computer vision; Stage (stratigraphy); Face (sociological concept); The Internet; Pedestrian; Face detection; Pattern recognition (psychology); Facial recognition system; Geography; Computer security; World Wide Web; Archaeology; Sociology; 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":[0.0006913349,0.001066412,0.001148724,0.00138293,0.0001983676,0.0008319573,0.001626184,0.001158916,0.004118907],"category_scores_gemma":[0.001866111,0.000472478,0.0007675389,0.002132709,0.0003298192,0.001920956,0.0006231231,0.001045418,0.002602241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004571351,"about_ca_system_score_gemma":0.001124896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001580403,"about_ca_topic_score_gemma":0.001650786,"domain_scores_codex":[0.999694,0.00003816075,0.00004630998,0.00009586458,0.00009980315,0.00002585217],"domain_scores_gemma":[0.9991886,0.0004086391,0.00006621171,0.00004006865,0.0002635676,0.00003292266],"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":[0.0001072537,0.00006049584,0.0003799791,0.009397208,0.0001777299,0.0001323702,0.0000280664,0.002156632,0.002467642,0.004591309,0.03418745,0.9463139],"study_design_scores_gemma":[0.00004165346,0.0003507816,0.00174282,0.00480513,0.0006968378,0.001656954,0.00005324963,0.01277634,0.006965634,0.01110955,0.9596872,0.0001138238],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008210661,0.9646688,0.02792289,0.001057268,0.001324331,0.00003042391,0.0001409944,0.0001679499,0.003866303],"genre_scores_gemma":[0.01017975,0.9682277,0.01364603,0.001446208,0.001682742,0.00005222917,0.0004586737,0.00006548032,0.004241147],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004118907,"threshold_uncertainty_score":0.01377916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03401032004045709,"score_gpt":0.2804243562068294,"score_spread":0.2464140361663723,"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."}}