{"id":"W4386053890","doi":"10.37256/aie.4220233058","title":"A Framework for Open World Object Detection","year":2023,"lang":"en","type":"article","venue":"Artificial Intelligence Evolution","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Tamkeen; York University; New York University Abu Dhabi","keywords":"Pascal (unit); Object detection; Computer science; Viola–Jones object detection framework; Artificial intelligence; Benchmark (surveying); Object (grammar); Cognitive neuroscience of visual object recognition; Object-class detection; Parametric statistics; Machine learning; Computer vision; Method; Pattern recognition (psychology); Object-oriented programming; Mathematics; Face detection","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004081168,0.0001298415,0.0001295746,0.00023564,0.0005125463,0.0002467563,0.001204657,0.00006912285,0.00001064929],"category_scores_gemma":[0.0002915983,0.0001385222,0.00007288474,0.003283672,0.00005448678,0.0007912423,0.0003823811,0.0001583748,0.0007778682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001467672,"about_ca_system_score_gemma":0.00004831204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004721605,"about_ca_topic_score_gemma":0.0004616315,"domain_scores_codex":[0.9985088,0.0000474048,0.0003310147,0.0005386203,0.0001747861,0.0003993438],"domain_scores_gemma":[0.9985811,0.0005041192,0.0001240835,0.0005837139,0.0001273109,0.00007968581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000014289,0.00002191188,0.00001720631,0.000002818477,0.000003674651,5.177007e-7,0.0000901544,0.006169674,0.001690657,0.7895153,0.0002433363,0.2022305],"study_design_scores_gemma":[0.000009294636,0.0000449238,0.0001964168,0.00001226667,0.000002852029,0.000001282363,0.00004364192,0.3178774,0.0235802,0.6560714,0.002044678,0.0001156279],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001288672,0.00003104364,0.9943284,0.001730551,0.0008051066,0.0009677747,0.000003753883,0.0006306065,0.0002140354],"genre_scores_gemma":[0.8712563,0.000008005523,0.1273162,0.000189867,0.0002885631,0.0006767794,0.000006026972,0.00001574722,0.0002425801],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8699676,"threshold_uncertainty_score":0.9998182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.110805787362159,"score_gpt":0.377960907813944,"score_spread":0.267155120451785,"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."}}