{"id":"W4398323082","doi":"10.7910/dvn/pkjufn/tclmut","title":"FCC2002.360.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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009800078,0.003211451,0.001571056,0.003746058,0.0009539998,0.00295901,0.003588179,0.002698865,0.07850953],"category_scores_gemma":[0.00510808,0.0007108498,0.001631377,0.006850075,0.0005171706,0.00171835,0.001859529,0.001702101,0.1384377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001560105,"about_ca_system_score_gemma":0.002016543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0355862,"about_ca_topic_score_gemma":0.05470135,"domain_scores_codex":[0.9988663,0.0001662289,0.0001218849,0.0003175928,0.000259634,0.0002684053],"domain_scores_gemma":[0.997871,0.0003881992,0.0001841416,0.0006623735,0.0006130231,0.0002812785],"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":[0.00005300193,0.00001263744,0.000282351,0.0002347067,0.00001517736,0.00001045329,0.000006413536,0.0002595827,0.00005230372,0.0002347454,0.9976826,0.001156023],"study_design_scores_gemma":[0.000361083,0.00003872094,0.003409795,0.0002498308,0.00003199089,0.0000680449,0.00007293138,0.001246867,0.0004142414,0.00153831,0.9925303,0.00003795383],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009956595,0.00004878144,0.00003927485,0.00005559896,0.00003062955,0.000005775257,0.9985201,0.0004578933,0.0007424429],"genre_scores_gemma":[0.0003426523,0.00003702373,0.0001110398,0.00003908382,0.000009619792,0.00002147191,0.9989242,0.00006611778,0.0004488137],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9214905,"threshold_uncertainty_score":0.2626406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01186699563184929,"score_gpt":0.19833779110899,"score_spread":0.1864707954771407,"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."}}