{"id":"W2100150752","doi":"10.1109/icpr.1990.119414","title":"Implementation of an MHT-based object detection algorithm on a 2-D processor mesh","year":2002,"lang":"en","type":"article","venue":"","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Speedup; Computer science; Overhead (engineering); Algorithm; Parallel computing; Function (biology); Object (grammar); Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000978329,0.00007718236,0.00007398003,0.0001243763,0.00009941029,0.00004001578,0.000234885,0.00003662747,0.0001383371],"category_scores_gemma":[0.000003425953,0.00007019004,0.00004025553,0.0004325866,0.00001492255,0.0002605819,0.00001856708,0.00005131632,0.00002103705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003112481,"about_ca_system_score_gemma":0.00001393774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001230437,"about_ca_topic_score_gemma":0.00005976225,"domain_scores_codex":[0.9992829,0.00002388587,0.0001799766,0.0002373665,0.0001658078,0.0001100762],"domain_scores_gemma":[0.9994222,0.00001671122,0.00009944954,0.0003092063,0.0001089208,0.00004349245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000001255017,0.0001017546,0.00001426895,0.000004668973,0.000002926468,2.711801e-7,0.00007037265,0.00001489208,0.00465063,0.002539605,0.00009898778,0.9925004],"study_design_scores_gemma":[0.0002061542,0.0005186592,0.0005720859,0.000002681534,0.000002972612,0.000002911866,0.00005567254,0.3257573,0.6714088,0.0005747282,0.00081103,0.00008708533],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01772073,0.0000035423,0.9801597,0.0002389882,0.00002649581,0.0002570398,0.000002676833,0.0003729554,0.001217852],"genre_scores_gemma":[0.8744566,0.000002534703,0.1249904,0.0002681659,0.00002009267,0.0001295671,0.0000015625,0.000005350713,0.0001256412],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9924133,"threshold_uncertainty_score":0.2862267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01635266539352884,"score_gpt":0.2838669753830472,"score_spread":0.2675143099895184,"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."}}