{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005883373,0.002090279,0.001469449,0.002082847,0.0005850527,0.001181269,0.001608712,0.001821661,0.01822182],"category_scores_gemma":[0.002244726,0.0003248534,0.0007916432,0.004128301,0.0002795649,0.0009798039,0.001141513,0.001083183,0.03650876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007517611,"about_ca_system_score_gemma":0.001102526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02342612,"about_ca_topic_score_gemma":0.03102748,"domain_scores_codex":[0.9991288,0.000153673,0.00007833467,0.000235229,0.0002705258,0.0001334457],"domain_scores_gemma":[0.9991055,0.0001721014,0.0000856995,0.0002700529,0.0002868851,0.00007957931],"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":[0.0001779154,0.0000554002,0.002108466,0.000589286,0.00007665158,0.00009488153,0.00002970236,0.002632258,0.0007343934,0.0008708052,0.9823824,0.01024791],"study_design_scores_gemma":[0.0001873317,0.00009048487,0.0119394,0.0002689806,0.00007247182,0.0002180064,0.000120824,0.004308036,0.001378489,0.002139939,0.9792001,0.00007609736],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009487587,0.00021835,0.0004565994,0.00009865675,0.00008535091,0.00002201107,0.9955902,0.0008554396,0.001724748],"genre_scores_gemma":[0.001730034,0.00008682592,0.0003696762,0.00004945612,0.00001441037,0.0000352465,0.9968837,0.00004682755,0.0007838479],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02342612,"threshold_uncertainty_score":0.06095809,"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."}}