{"id":"W4389667925","doi":"10.1155/2023/9768517","title":"Retracted: Vehicle Motion State Prediction Method Integrating Point Cloud Time Series Multiview Features and Multitarget Interactive Information","year":2023,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":0,"is_retracted":true,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Point cloud; Computer science; Series (stratigraphy); Cloud computing; Time series; Point (geometry); State (computer science); Motion (physics); Artificial intelligence; Computer vision; Algorithm; Machine learning; Geology; Mathematics","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":[0.000427349,0.0008677614,0.0007537589,0.0005957028,0.0004524842,0.0006389252,0.001654371,0.0008743302,0.004563472],"category_scores_gemma":[0.0009666572,0.000495251,0.0006289545,0.0006152138,0.0002529747,0.001072847,0.0009813224,0.0009850374,0.001913398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003678551,"about_ca_system_score_gemma":0.001249122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02266432,"about_ca_topic_score_gemma":0.01797878,"domain_scores_codex":[0.9997231,0.00001716728,0.00001460179,0.0001088036,0.0001037095,0.00003251251],"domain_scores_gemma":[0.9997172,0.0000296224,0.0000159363,0.00006076058,0.0001561081,0.0000203754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003500341,0.0001690309,0.003820384,0.0001364555,0.0001255979,0.000239848,0.00009742695,0.1839278,0.03068799,0.001315884,0.008366707,0.7707629],"study_design_scores_gemma":[0.00001406378,0.00003700364,0.00140233,0.000006601052,0.00002018123,0.00004594991,0.00001572841,0.9913301,0.005314931,0.0003896939,0.001411797,0.00001153422],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03484879,0.0004903417,0.9586369,0.0001456264,0.0003752901,0.00008855935,0.0003712397,0.003149675,0.001893544],"genre_scores_gemma":[0.6515761,0.0005055329,0.3291609,0.0002414272,0.0001806262,0.0001499229,0.00213383,0.0003600593,0.01569168],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02266432,"threshold_uncertainty_score":0.04506475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003384710338466347,"score_gpt":0.2250870097232495,"score_spread":0.2217022993847832,"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."}}