{"id":"W4393099452","doi":"10.1109/icaect60202.2024.10469334","title":"A Quarter Century Journey: Evolution of Object Detection Methods","year":2024,"lang":"en","type":"article","venue":"","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Computer science; Object (grammar); Artificial intelligence; History; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004928958,0.00008752799,0.000129477,0.0002395555,0.00002834695,0.00004020618,0.00003106973,0.0001337029,0.0001067165],"category_scores_gemma":[0.00002152141,0.00007190089,0.0001053183,0.0003947838,0.000007127317,0.0001443914,0.000005793243,0.0001633317,0.00006112986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001559248,"about_ca_system_score_gemma":0.0000144664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000946917,"about_ca_topic_score_gemma":0.00001292693,"domain_scores_codex":[0.9993306,0.00007966429,0.0002531443,0.0001074494,0.0001116333,0.0001175176],"domain_scores_gemma":[0.9997478,0.00006115582,0.00001642763,0.0001087314,0.00003227019,0.00003358566],"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":[0.00001702656,0.000008367409,0.00001755732,0.0002047791,0.00009202841,0.000002780267,0.0003589436,0.002047595,0.700892,0.0008487108,0.002431192,0.293079],"study_design_scores_gemma":[0.0003408313,0.0002466621,0.0006372775,0.0002143695,0.00005839768,0.00009473046,0.001057601,0.3023079,0.6156051,0.000581262,0.07855307,0.0003028162],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07468875,0.001874671,0.9065956,0.00000729524,0.005334446,0.0001576922,0.000002472373,0.0007120683,0.01062697],"genre_scores_gemma":[0.9985505,0.00002043138,0.0009553523,0.000001681625,0.0003151858,0.000009463657,4.854319e-7,0.0000182406,0.0001286763],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9238617,"threshold_uncertainty_score":0.2932033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01640285631936817,"score_gpt":0.2884135822244957,"score_spread":0.2720107259051275,"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."}}