{"id":"W4398729306","doi":"10.7910/dvn/pkjufn/601som","title":"FCC2001.067.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":[0.00006217643,0.00044742,0.0004850796,0.00009726472,0.00006265759,0.0001086734,0.0006711953,0.0003679768,0.01819282],"category_scores_gemma":[0.00004272515,0.0004721407,0.0001385774,0.0001914964,0.00004633746,0.0001737516,0.0001968013,0.0007437197,0.3382428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006902361,"about_ca_system_score_gemma":0.00002705982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007378044,"about_ca_topic_score_gemma":0.00006220321,"domain_scores_codex":[0.998508,0.00002834137,0.0003332318,0.0003984977,0.0002790052,0.0004529372],"domain_scores_gemma":[0.9985392,0.00004619836,0.00005855757,0.001070316,0.00002276159,0.0002629676],"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":[0.00001001335,0.00001395714,4.225582e-7,0.0002419966,0.0001021123,0.0002095461,0.000009483569,0.002776982,0.00002173954,0.000007129896,0.9962146,0.0003920001],"study_design_scores_gemma":[0.0002619838,0.00002264244,0.000004406681,0.00008531424,0.0001019596,0.00001274039,0.00001487279,0.003979789,0.00002256481,0.000003456663,0.9949743,0.0005159474],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000007066848,0.000006103145,0.00008048372,0.00000420081,0.001797657,0.0001782975,0.9966933,0.0003629068,0.0008700443],"genre_scores_gemma":[0.00003331598,0.002207367,0.0001678182,0.0002958949,0.001433034,0.00001337326,0.995646,0.00007899109,0.0001241863],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.32005,"threshold_uncertainty_score":0.999773,"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."}}