{"id":"W4398532241","doi":"10.7910/dvn/pkjufn/oojp5x","title":"FCC2003.094.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":[0.00005976424,0.0004475897,0.0004845097,0.00009652104,0.00006230616,0.0001116704,0.0006590651,0.0003637235,0.01546318],"category_scores_gemma":[0.00004688268,0.0004729748,0.0001332005,0.0002081786,0.00004653147,0.0001662485,0.0001903166,0.0007260451,0.3243994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006906966,"about_ca_system_score_gemma":0.00003052991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006874518,"about_ca_topic_score_gemma":0.00005922203,"domain_scores_codex":[0.9985175,0.00002878168,0.0003293201,0.000398905,0.0002791565,0.0004463191],"domain_scores_gemma":[0.9985399,0.00004223519,0.00005843245,0.001070818,0.00002539642,0.0002631755],"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":[0.00001033663,0.00001385529,4.312678e-7,0.0002512512,0.0001056464,0.0002157607,0.000009583483,0.002401518,0.00001817068,0.000008705347,0.9966174,0.0003473076],"study_design_scores_gemma":[0.0002640912,0.00002192216,0.000004881307,0.00008486687,0.0001073547,0.00001206703,0.00001512003,0.00339534,0.0000224918,0.000003527724,0.9955516,0.0005166983],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000006088108,0.000006392096,0.00009880285,0.000003804618,0.001846249,0.0001809621,0.9967315,0.0003645009,0.0007617136],"genre_scores_gemma":[0.00003179181,0.001864992,0.0001903688,0.0003143977,0.00134641,0.00001354533,0.9960454,0.00007918543,0.0001139793],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3089362,"threshold_uncertainty_score":0.9997722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01230965556635483,"score_gpt":0.2021706432790923,"score_spread":0.1898609877127374,"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."}}