{"id":"W7077142034","doi":"10.5281/zenodo.16928364","title":"Uncrewed Vehicle Trajectory (UVT) Format example files","year":2025,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Theoretical and Computational Physics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Trajectory; Data file; Point (geometry); File format; Navigational aid; Key (lock)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007944608,0.002265559,0.001100642,0.002294629,0.0007279945,0.001806086,0.002822377,0.002335752,0.1061417],"category_scores_gemma":[0.005251383,0.0006441511,0.00122381,0.004510009,0.0004109289,0.002022212,0.001489995,0.00195601,0.1111379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001577961,"about_ca_system_score_gemma":0.001647245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02408792,"about_ca_topic_score_gemma":0.03757685,"domain_scores_codex":[0.9990903,0.00013928,0.0001027523,0.0002890456,0.0002435313,0.0001349897],"domain_scores_gemma":[0.998301,0.0004281408,0.0001254472,0.0005560823,0.0004788792,0.0001105317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004829708,0.00001695078,0.0003192789,0.0002448612,0.00001269146,0.00002270689,0.00001054962,0.0005547282,0.00008661926,0.0004305922,0.9959973,0.002255455],"study_design_scores_gemma":[0.0002204995,0.00002280191,0.002280845,0.0001855881,0.00001989698,0.0001023162,0.00008542796,0.002618275,0.0008590729,0.002753299,0.9908118,0.00004010677],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001523845,0.0000293781,0.0002561027,0.00006122742,0.00003924104,0.00001350729,0.9976748,0.001074231,0.0006992305],"genre_scores_gemma":[0.0004211425,0.00002336015,0.0005037117,0.00002894906,0.000005501417,0.00004343456,0.9982652,0.0001569868,0.0005517306],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1061417,"threshold_uncertainty_score":0.3550793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0175752393621406,"score_gpt":0.2296795110508197,"score_spread":0.2121042716886791,"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."}}