{"id":"W4401217702","doi":"10.23977/jeis.2024.090302","title":"Trajectory Generation Method Based on Deep Learning","year":2024,"lang":"en","type":"article","venue":"Journal of Electronics and Information Science","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Trajectory; Computer science; Data publishing; Scheme (mathematics); Focus (optics); Artificial intelligence; Publishing; Mathematics; Law","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":[0.0006453518,0.0006214062,0.0007908989,0.000799162,0.0004868731,0.0005689448,0.00152771,0.0008193006,0.002785804],"category_scores_gemma":[0.001751097,0.0004409436,0.0007189651,0.000940304,0.0004639337,0.001453412,0.001016389,0.001387162,0.000586499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001067446,"about_ca_system_score_gemma":0.001355794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0138476,"about_ca_topic_score_gemma":0.01097325,"domain_scores_codex":[0.9995934,0.00006578345,0.00002578971,0.0001396732,0.0001140914,0.00006130154],"domain_scores_gemma":[0.9993919,0.0001991767,0.00005973494,0.0001011981,0.0001981326,0.0000498675],"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":[0.0001327747,0.00007010246,0.001570155,0.00008191932,0.00005903636,0.0001089147,0.00008036252,0.7014742,0.004116826,0.01309148,0.004136969,0.2750773],"study_design_scores_gemma":[0.000003562488,0.000008997632,0.00005191664,0.000002163344,0.000002652681,0.00001328854,0.000003181281,0.9976817,0.000501494,0.001373451,0.0003550219,0.000002598227],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01174698,0.0002085061,0.985666,0.0001699492,0.00006139453,0.00004827559,0.0001313789,0.0009114288,0.001056083],"genre_scores_gemma":[0.6489753,0.0004427222,0.3405772,0.0002596658,0.00009509642,0.0001871107,0.001553698,0.000258634,0.007650597],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0138476,"threshold_uncertainty_score":0.02753395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006718951231139669,"score_gpt":0.2455736233454826,"score_spread":0.2388546721143429,"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."}}