{"id":"W3147871745","doi":"10.18280/ts.370219x","title":"Moving Vehicle Detection and Tracking Based on Video Sequences","year":2002,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Advanced Algorithms and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer vision; Tracking (education); Artificial intelligence; Computer science; Video tracking; Real-time computing; Video processing; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004423036,0.00008207179,0.00006018973,0.00004001157,0.0001228526,0.0000427411,0.00003725723,0.00002323652,0.0001826017],"category_scores_gemma":[0.000002535167,0.000081533,0.00001920815,0.00008414166,0.00002113121,0.0001073583,0.000003312449,0.00007216325,0.000009937312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003116024,"about_ca_system_score_gemma":0.000001287764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004038495,"about_ca_topic_score_gemma":0.000005107383,"domain_scores_codex":[0.9995565,0.000006002438,0.0001047894,0.0001147612,0.00009441892,0.0001234742],"domain_scores_gemma":[0.9998384,0.00003824709,0.00001473595,0.0000579559,0.000009743855,0.00004096932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003115272,0.0000388527,0.0001583396,0.00002630342,0.00001013658,0.000003048686,0.0001614028,0.4933931,0.09466577,0.0002179198,0.00003755062,0.4112844],"study_design_scores_gemma":[0.0002172602,0.00004072387,0.001816037,0.00001772183,0.000005643945,0.000001289578,0.00003134793,0.9783658,0.01807928,0.0001150434,0.001209591,0.0001001913],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4732396,0.0001562835,0.5246285,0.0001428388,0.00005931093,0.0001877513,0.000008583851,0.0003141007,0.001263001],"genre_scores_gemma":[0.9973715,0.0000144125,0.002392961,0.00007117617,0.00008604051,0.0000388307,0.000001340816,0.00001276865,0.00001099692],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5241319,"threshold_uncertainty_score":0.3324819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01550818690159202,"score_gpt":0.2109598133023168,"score_spread":0.1954516264007248,"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."}}