{"id":"W4398516390","doi":"10.7910/dvn/pkjufn/gxm0dm","title":"FCC2003.067.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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001025134,0.003245974,0.001659695,0.003709025,0.001085559,0.003223267,0.003828199,0.002992923,0.09419472],"category_scores_gemma":[0.005825558,0.0007494069,0.001756354,0.00663036,0.0005534046,0.001794165,0.002073603,0.001729014,0.1662329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001642316,"about_ca_system_score_gemma":0.002272659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04012854,"about_ca_topic_score_gemma":0.06410725,"domain_scores_codex":[0.9988706,0.0001691498,0.0001178044,0.0003236389,0.0002451263,0.0002737423],"domain_scores_gemma":[0.9977583,0.0004164222,0.0001784922,0.0006825243,0.0006568989,0.0003073308],"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":[0.00004558594,0.00001099141,0.0002485067,0.0002297089,0.00001370564,0.000009309731,0.000006762337,0.0002124099,0.00004411827,0.0002085555,0.9979303,0.001040072],"study_design_scores_gemma":[0.0003901667,0.00003566996,0.003019611,0.0002751383,0.00003401065,0.00005741797,0.0000807309,0.001153967,0.0003715222,0.001668242,0.9928746,0.00003891379],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008159586,0.00005093693,0.00003532298,0.00006610047,0.00003463921,0.000006229865,0.9985664,0.000447641,0.0007110477],"genre_scores_gemma":[0.0003189547,0.00004047585,0.0001150388,0.00004724,0.0000118709,0.00002465886,0.99887,0.00006849861,0.0005033254],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9058053,"threshold_uncertainty_score":0.3151127,"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."}}