{"id":"W595259873","doi":"10.1002/atr.148","title":"Development of an integrated system based vehicle tracking algorithm with shadow removal and occlusion handling methods","year":2010,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Internet of Things and Social Network Interactions","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer vision; Shadow (psychology); Computer science; Artificial intelligence; Tracking (education); Distortion (music); Vehicle tracking system; Data collection; Image processing; Tracking system; Algorithm; Image (mathematics); Mathematics; Kalman filter; Filter (signal processing)","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":[0.000619198,0.00009488488,0.0002007924,0.0001193701,0.0001320491,0.00005190748,0.0001844877,0.00005456175,0.000002042739],"category_scores_gemma":[0.00001323448,0.00007452002,0.000047492,0.0001757077,0.00002337002,0.0009459686,0.000003397403,0.0002935707,8.897653e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003894082,"about_ca_system_score_gemma":0.000121592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001457686,"about_ca_topic_score_gemma":0.0001737775,"domain_scores_codex":[0.9989991,0.00004579742,0.0004882962,0.0001274187,0.0002347867,0.0001045853],"domain_scores_gemma":[0.9987712,0.00006515372,0.0005432649,0.00008671675,0.0004602813,0.00007340374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001589817,0.00009169622,0.0001150525,0.00005052433,0.00004428175,0.0000843719,0.01083342,0.01403747,0.1284175,0.001206997,8.173335e-7,0.8449589],"study_design_scores_gemma":[0.003772041,0.001098338,0.04499703,0.00198027,0.0001291089,0.0004741391,0.007215605,0.6970084,0.2393762,0.0004747345,0.002899127,0.0005750672],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4501748,0.00001341742,0.5494082,0.00002521798,0.0003163986,0.00003809785,6.626451e-7,0.00001297344,0.00001016409],"genre_scores_gemma":[0.4675009,0.000001228227,0.5324495,0.00001027732,0.00002849404,5.250109e-7,0.000002338914,0.000004398788,0.000002296747],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8443838,"threshold_uncertainty_score":0.3038838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009964087050591028,"score_gpt":0.2892717396806102,"score_spread":0.2793076526300192,"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."}}