{"id":"W4398317987","doi":"10.7910/dvn/pkjufn/ncpg5f","title":"FCC2002.323.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":[0.00006152961,0.0004415648,0.0004781063,0.00006250531,0.00006147051,0.0001112361,0.0006642588,0.0003595275,0.01544975],"category_scores_gemma":[0.00004782417,0.0004653066,0.0001381598,0.0001779239,0.00004518705,0.000164501,0.0001970576,0.0007308465,0.2821744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007160699,"about_ca_system_score_gemma":0.00002182654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000480662,"about_ca_topic_score_gemma":0.0000626554,"domain_scores_codex":[0.9984724,0.00002748667,0.0003264046,0.0003915408,0.0003429256,0.0004392243],"domain_scores_gemma":[0.9985633,0.00005002947,0.00005764099,0.001057488,0.00001945501,0.0002521086],"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":[0.00001050294,0.00001328841,4.467442e-7,0.0002421447,0.0001027648,0.000215905,0.000009530701,0.002464565,0.00002178907,0.00000598979,0.9964057,0.0005073833],"study_design_scores_gemma":[0.0002535396,0.00002243352,0.000004641706,0.00008461809,0.0001027504,0.00001232521,0.00001575794,0.00390818,0.00002714459,0.000003141851,0.9950566,0.0005088405],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00000678955,0.00000547042,0.00009356696,0.000003864812,0.001693875,0.0001725146,0.9968415,0.0003427838,0.0008396336],"genre_scores_gemma":[0.00004371053,0.001616022,0.0001736783,0.000284129,0.001383952,0.00001338052,0.9962815,0.00007827191,0.0001253661],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2667246,"threshold_uncertainty_score":0.9997799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01186855000602602,"score_gpt":0.1982685848667247,"score_spread":0.1864000348606986,"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."}}