{"id":"W4413166260","doi":"10.18280/ts.420447","title":"Visual Object Tracking Using Siam and TensorFlow as Hybrid Model in AI","year":2025,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Video Surveillance and Tracking Methods","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Tracking (education); Object (grammar); Computer vision; Computer science; Eye tracking; Video tracking; Pattern recognition (psychology); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001174995,0.0007189106,0.000640693,0.0009259291,0.000516014,0.001596953,0.001088659,0.0008337481,0.002201141],"category_scores_gemma":[0.002102102,0.0003546233,0.0008391992,0.00101966,0.0006299579,0.001758399,0.0009237838,0.001457302,0.0006261506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001337201,"about_ca_system_score_gemma":0.001448935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02022468,"about_ca_topic_score_gemma":0.01582539,"domain_scores_codex":[0.9995933,0.00009328577,0.00002343481,0.0001309102,0.0001159433,0.00004307897],"domain_scores_gemma":[0.9992645,0.0002374417,0.00007397233,0.0001221351,0.00025058,0.0000512322],"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":[0.0002100946,0.00009762128,0.002357793,0.0001510516,0.0001510063,0.00009903648,0.0001507941,0.7321531,0.009301692,0.03016265,0.004901299,0.2202638],"study_design_scores_gemma":[0.00000284569,0.00001560877,0.0001154364,0.00000419613,0.000005377629,0.00001187897,0.000004571079,0.9931398,0.0007679019,0.005141106,0.0007866716,0.000004531208],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01599719,0.0008280042,0.9772883,0.0004858701,0.0001171952,0.00005179277,0.0002380008,0.002034045,0.00295958],"genre_scores_gemma":[0.4645064,0.001335143,0.5223316,0.0003420775,0.0001556354,0.0002083971,0.001080146,0.0002979854,0.009742552],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02022468,"threshold_uncertainty_score":0.04021394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02744550123551685,"score_gpt":0.3316317808911721,"score_spread":0.3041862796556553,"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."}}