{"id":"W4393823766","doi":"10.5281/zenodo.7990545","title":"FUDGE-5G Tracking data","year":2023,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Telecommunications and Broadcasting Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nutrasource","funders":"European Commission","keywords":"Tracking (education); Computer science; Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005551076,0.0002217871,0.0002108551,0.000418303,0.001294113,0.0008828316,0.005646633,0.0002164065,0.001776103],"category_scores_gemma":[0.001030445,0.0002484269,0.00003857253,0.0007797015,0.0001285212,0.0002313264,0.004251465,0.0008319588,0.03329303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000123357,"about_ca_system_score_gemma":0.000002672951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003749409,"about_ca_topic_score_gemma":0.000003144666,"domain_scores_codex":[0.9985042,0.0001067006,0.0003022125,0.0004270466,0.0002683401,0.0003915506],"domain_scores_gemma":[0.9966704,0.00004900379,0.00008076154,0.002935787,0.0001872931,0.00007672016],"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":[0.000002076342,0.00002460874,2.931214e-8,0.0001337428,0.00005008393,0.00001055603,0.00002334715,0.0001300827,0.00007138264,0.00002306019,0.907717,0.09181403],"study_design_scores_gemma":[0.0001094362,0.00003550404,0.00001826851,0.00008048565,0.00002584424,0.00005036287,0.00007452911,0.001123658,0.00002691339,0.00005153787,0.9981471,0.0002563731],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003893288,0.0003034211,0.0005731713,0.000206037,0.0002325376,0.000245347,0.9881333,0.007225371,0.003041905],"genre_scores_gemma":[0.0005211633,0.001941681,0.0003550925,0.00001668345,0.0001424507,5.030157e-8,0.9951927,0.001732314,0.00009788083],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09155765,"threshold_uncertainty_score":0.9999968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1126044031780158,"score_gpt":0.2818273314055305,"score_spread":0.1692229282275147,"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."}}