{"id":"W4405518935","doi":"10.2316/j.2025.201-0488","title":"SPATIOTEMPORAL AGGREGATION METHOD BASED ON TRAJECTORY DATA FOR LOGISTICS VEHICLE TRANSPORT MOTION ANALYSIS, 171-181.","year":2024,"lang":"en","type":"article","venue":"Mechatronic systems and control","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Trajectory; Motion (physics); Computer science; Motion analysis; Computer vision; Artificial intelligence; Physics","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":[0.001081167,0.0001688462,0.0003144842,0.00055573,0.0001732926,0.0001742342,0.00021574,0.0001514727,0.00002129352],"category_scores_gemma":[0.00005457197,0.0001484873,0.0000960103,0.0006950888,0.00004297946,0.0004305093,0.00001734208,0.0001472727,0.00001221974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004054987,"about_ca_system_score_gemma":0.00003974215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000930529,"about_ca_topic_score_gemma":0.0004014623,"domain_scores_codex":[0.9987762,0.00002196396,0.0003686642,0.0004409081,0.0001721404,0.0002201464],"domain_scores_gemma":[0.9991035,0.0001338319,0.0001463374,0.0004994047,0.000107258,0.000009709544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001867899,0.0002390481,0.02045344,0.001598211,0.001731834,0.00002027695,0.00003958744,0.02620104,0.0006551514,0.8636226,0.003043307,0.08220868],"study_design_scores_gemma":[0.0009121704,0.00003095023,0.001488497,0.00006900837,0.001186882,6.390852e-7,0.0001498789,0.9752209,0.00001485035,0.001246714,0.01951547,0.0001640511],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006473123,0.0007875327,0.9880796,0.002713548,0.0004848531,0.0007027162,0.0001798367,0.0002814543,0.0002973256],"genre_scores_gemma":[0.9971997,0.000005567132,0.0004643001,0.0004706396,0.0005455791,0.0001298373,0.001076949,0.00002333513,0.00008405872],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9907266,"threshold_uncertainty_score":0.6055137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03544088541786047,"score_gpt":0.2790893591118597,"score_spread":0.2436484736939992,"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."}}