{"id":"W4378418355","doi":"10.18280/ria.370217","title":"A Comprehensive Survey on Object Detection Using Deep Learning","year":2023,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Computer science; Deep learning; Object (grammar); Computer vision; Psychology; Data science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001314805,0.001530889,0.001440435,0.003191843,0.0003555691,0.001365904,0.001936627,0.001422814,0.003995378],"category_scores_gemma":[0.003301142,0.0008498508,0.001011671,0.004432429,0.0004340955,0.003069793,0.001338539,0.001403817,0.002589778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000808141,"about_ca_system_score_gemma":0.001239918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002660723,"about_ca_topic_score_gemma":0.003122344,"domain_scores_codex":[0.9990348,0.0001490404,0.0001019843,0.0002151581,0.0004359785,0.000063086],"domain_scores_gemma":[0.9988915,0.0005802679,0.00006814244,0.000105731,0.0003143629,0.00004001195],"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":[0.0000567547,0.00007339976,0.001332356,0.002875619,0.0001072748,0.00006330291,0.00005701543,0.007035069,0.001909716,0.00830477,0.02162593,0.9565588],"study_design_scores_gemma":[0.0000446251,0.0003760285,0.006796369,0.003732569,0.0004255753,0.001315219,0.0002582753,0.2579834,0.01580897,0.07363363,0.6394531,0.000172227],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.007190473,0.507318,0.4636289,0.002280237,0.000851378,0.0001404392,0.001148134,0.002003877,0.01543849],"genre_scores_gemma":[0.080281,0.6986216,0.1954741,0.002303106,0.00176774,0.0003025155,0.005627619,0.0005178227,0.01510454],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003995378,"threshold_uncertainty_score":0.01336592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1624224671269837,"score_gpt":0.3301292431322841,"score_spread":0.1677067760053005,"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."}}