{"id":"W4398680470","doi":"10.7910/dvn/pkjufn/syys7t","title":"FCC2001.283.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":[0.00006203779,0.0004488194,0.0004871687,0.00009808733,0.00006248776,0.0001122095,0.0006732967,0.0003693461,0.01594899],"category_scores_gemma":[0.00004250362,0.0004735374,0.0001398205,0.0001899869,0.00004610351,0.0001693424,0.0001976404,0.000739178,0.3280587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007279505,"about_ca_system_score_gemma":0.00002808475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007889472,"about_ca_topic_score_gemma":0.00006876806,"domain_scores_codex":[0.9985031,0.00002804258,0.0003313342,0.0004001872,0.0002804787,0.0004568395],"domain_scores_gemma":[0.9985361,0.0000483275,0.0000587414,0.001073685,0.00002270466,0.000260417],"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":[0.00001034941,0.00001360002,4.144255e-7,0.0002432294,0.0001049664,0.0002238905,0.000009799525,0.003004589,0.00002104848,0.000007245462,0.9959829,0.0003779885],"study_design_scores_gemma":[0.0002651602,0.00002273215,0.000004456458,0.00008637377,0.0001036512,0.00001329321,0.0000156774,0.003911678,0.0000221823,0.000003851536,0.9950324,0.0005185719],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000007132888,0.000005982274,0.00008659678,0.00000432273,0.001772706,0.0001789235,0.9967755,0.000380637,0.0007881898],"genre_scores_gemma":[0.00003486103,0.001994332,0.0001751833,0.0003034406,0.001438454,0.00001337655,0.9958456,0.00008067014,0.0001141341],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3121097,"threshold_uncertainty_score":0.9997717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01185246235949775,"score_gpt":0.1999462336693114,"score_spread":0.1880937713098136,"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."}}