{"id":"W6981089700","doi":"","title":"Development of A Trajectory Population Data and its Application in CAV Research","year":2023,"lang":"en","type":"dissertation","venue":"VTechWorks (Virginia Tech)","topic":"Plant-derived Lignans Synthesis and Bioactivity","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Trajectory; Population; Process (computing); Data modeling; Object (grammar); Interval (graph theory); Data point; Data collection; Traffic flow (computer networking); Benchmarking","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001963516,0.0005573207,0.0004997396,0.0025936,0.0005652385,0.001192867,0.001486145,0.0007972574,0.003216984],"category_scores_gemma":[0.01071988,0.0003629243,0.0007274176,0.003833253,0.0004827248,0.002382955,0.001387818,0.001177144,0.001555272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001761558,"about_ca_system_score_gemma":0.002087399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02997,"about_ca_topic_score_gemma":0.01941366,"domain_scores_codex":[0.9984629,0.0002907102,0.0001769432,0.0004187544,0.0005714896,0.00007920418],"domain_scores_gemma":[0.9952462,0.0009315184,0.0005094034,0.001071207,0.002082672,0.0001589965],"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":[0.0003115505,0.0007975889,0.1210089,0.0006976922,0.0001420361,0.0005139558,0.001218508,0.4172473,0.01415183,0.02948309,0.02795738,0.38647],"study_design_scores_gemma":[0.00004570852,0.0004186225,0.04883375,0.0002136762,0.00004113251,0.0002565309,0.001553893,0.8645793,0.0181219,0.01122467,0.05457866,0.0001322336],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1873244,0.0001964779,0.738261,0.0008488288,0.0001429035,0.001396967,0.0566331,0.006137442,0.009058799],"genre_scores_gemma":[0.4176777,0.0003595035,0.5000854,0.00009416872,0.00003592449,0.001548118,0.07759665,0.0003971565,0.002205457],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02997,"threshold_uncertainty_score":0.05959111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05348194852048135,"score_gpt":0.3425232808236985,"score_spread":0.2890413323032172,"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."}}