{"id":"W4398704612","doi":"10.7910/dvn/pkjufn/ycm5uc","title":"FCC2001.080.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":[0.00006176416,0.0004485682,0.0004868107,0.00009771988,0.00006244487,0.0001122141,0.0006732225,0.0003692534,0.01583988],"category_scores_gemma":[0.00004291227,0.0004732572,0.0001384641,0.0001909847,0.00004664616,0.0001692293,0.0001975168,0.00074115,0.3292342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006954194,"about_ca_system_score_gemma":0.00002751425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007615221,"about_ca_topic_score_gemma":0.00006752244,"domain_scores_codex":[0.9985054,0.00002803641,0.0003312795,0.0003998476,0.0002803197,0.0004550805],"domain_scores_gemma":[0.9985366,0.00004835729,0.00005889617,0.001073069,0.00002276773,0.0002603059],"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":[0.00001034919,0.00001399965,4.128063e-7,0.0002437523,0.0001049819,0.0002236128,0.000009711933,0.002891888,0.00002081229,0.000007198432,0.9960899,0.0003833458],"study_design_scores_gemma":[0.0002654489,0.00002226709,0.000004431036,0.00008620823,0.0001037815,0.00001315998,0.00001549049,0.003789237,0.0000215005,0.000003755945,0.9951577,0.0005170269],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000006780681,0.000006142454,0.00008654875,0.00000430409,0.001753887,0.0001790993,0.9967827,0.0003710389,0.0008094503],"genre_scores_gemma":[0.0000336022,0.002035719,0.0001740493,0.0003002021,0.001436872,0.00001339005,0.9958065,0.00007922717,0.0001204748],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3133943,"threshold_uncertainty_score":0.9997719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0118495727525685,"score_gpt":0.1999503156488169,"score_spread":0.1881007428962485,"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."}}