{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001142229,0.0002165003,0.0002904839,0.0003457187,0.00009875596,0.00001841335,0.0004812094,0.0007062605,0.000003912058],"category_scores_gemma":[0.0001416615,0.0002202575,0.00003212223,0.0003664013,0.00002915501,0.000008830358,0.0002061932,0.0003613668,0.00000840236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004188773,"about_ca_system_score_gemma":0.0001812572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001936604,"about_ca_topic_score_gemma":0.007283755,"domain_scores_codex":[0.9981526,0.0001011588,0.0004252541,0.0007238257,0.0003179873,0.000279208],"domain_scores_gemma":[0.9989783,0.00005127205,0.0002060755,0.000629792,0.00008446936,0.00005008799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001485911,0.0000905184,0.0009137107,0.0002431011,0.0000440251,0.000002168506,0.000203842,0.000002941719,0.9128928,0.00002892979,0.0002383104,0.08519105],"study_design_scores_gemma":[0.0005472513,0.0001082359,0.2042087,0.0008163707,0.00004843398,0.000005121311,0.00145922,0.0008154644,0.7703952,0.0001189808,0.02067897,0.0007980182],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978813,0.0008570956,0.00009101383,0.00001855914,0.00009077782,0.0005714329,0.000146258,0.00002940817,0.0003141324],"genre_scores_gemma":[0.9877579,0.0006911829,0.000972645,0.000003700592,0.00007696525,0.0001305176,0.009750533,0.00005134761,0.0005652584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.203295,"threshold_uncertainty_score":0.8981839,"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."}}