{"id":"W6893247858","doi":"10.5281/zenodo.15331289","title":"LENS: A LEO Satellite Network Measurement Dataset - 202412","year":2025,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Satellite; Data collection; Field (mathematics); Measure (data warehouse); Data processing","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":[0.0007934591,0.002449516,0.001225538,0.002767212,0.0007753149,0.001679089,0.002482936,0.001932799,0.03772797],"category_scores_gemma":[0.003683367,0.0005440937,0.001192161,0.005211083,0.000407586,0.001683233,0.001827287,0.001549016,0.07416943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001498659,"about_ca_system_score_gemma":0.001707562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0426299,"about_ca_topic_score_gemma":0.07546616,"domain_scores_codex":[0.9989904,0.0001792667,0.0001027046,0.0002924076,0.0002760306,0.0001593057],"domain_scores_gemma":[0.9986163,0.0002239,0.0001209151,0.0003763594,0.0005334856,0.0001289722],"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":[0.00004253172,0.00001660659,0.0007055044,0.0002572208,0.0000318608,0.00001776229,0.00001363882,0.0004554894,0.0001684649,0.000373293,0.9956613,0.002256339],"study_design_scores_gemma":[0.0002056666,0.00002891094,0.007843927,0.0001791869,0.00004200024,0.00007811258,0.00012938,0.002145066,0.0007831363,0.002026484,0.9864718,0.00006632907],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002741361,0.00007383482,0.0001731775,0.00007531434,0.00003328329,0.00001238362,0.9976628,0.0009333458,0.0007617321],"genre_scores_gemma":[0.000493681,0.00002886909,0.0002856773,0.00003481119,0.0000084185,0.00003171487,0.9985523,0.0001036149,0.0004609655],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0426299,"threshold_uncertainty_score":0.1262127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07375989280854699,"score_gpt":0.2730042989258825,"score_spread":0.1992444061173355,"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."}}