{"id":"W4398417618","doi":"10.7910/dvn/pkjufn/ymtq4j","title":"FCC2002.050.ran","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Wireless Sensor Networks and IoT","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Ran; Computer science; Computer network","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00006174886,0.0004402709,0.0004755158,0.00006222502,0.00006128308,0.0001109837,0.0006625365,0.0003587848,0.01549759],"category_scores_gemma":[0.00004724915,0.0004637715,0.000136293,0.0001766175,0.00004525723,0.0001638235,0.0001964394,0.0007289922,0.2886017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006738421,"about_ca_system_score_gemma":0.00001993796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006412707,"about_ca_topic_score_gemma":0.00007824116,"domain_scores_codex":[0.9984763,0.00002754028,0.0003254011,0.0003915566,0.0003414802,0.0004377447],"domain_scores_gemma":[0.9985647,0.00004991638,0.00005747424,0.001057217,0.00001937722,0.0002513483],"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":[0.0000104841,0.00001366013,5.531224e-7,0.000239808,0.0001023234,0.0002124319,0.0000092159,0.002300754,0.00002241391,0.000005835171,0.9965869,0.0004956814],"study_design_scores_gemma":[0.0002515069,0.00002209835,0.000005419791,0.00008385978,0.0001021426,0.0000125677,0.0000149848,0.003702544,0.0000266184,0.000003042379,0.9952678,0.000507414],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000079257,0.000005436294,0.00008831079,0.000003675854,0.001647167,0.0001712919,0.996918,0.0003372507,0.0008208977],"genre_scores_gemma":[0.00003293496,0.002218235,0.0001726487,0.0002773391,0.001364554,0.00001333782,0.9957154,0.00007797071,0.000127582],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2731041,"threshold_uncertainty_score":0.9997814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01187260657675444,"score_gpt":0.1983605874647086,"score_spread":0.1864879808879542,"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."}}