{"id":"W4398664484","doi":"10.7910/dvn/pkjufn/b76uas","title":"FCC2003.034.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":[0.00006139065,0.0004485439,0.0004868457,0.00009618173,0.00006240351,0.0001118506,0.0006611469,0.0003691245,0.01505717],"category_scores_gemma":[0.0000470474,0.0004734398,0.0001321514,0.0002092804,0.00004671617,0.0001664652,0.0001905638,0.0007384678,0.3168398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006929637,"about_ca_system_score_gemma":0.00003002667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006819706,"about_ca_topic_score_gemma":0.00006208228,"domain_scores_codex":[0.9985134,0.00002885206,0.0003308958,0.0003991207,0.0002795133,0.0004482183],"domain_scores_gemma":[0.9985458,0.00004267904,0.00005870085,0.001070218,0.00002542376,0.0002572043],"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":[0.000009980696,0.00001371546,4.139911e-7,0.0002461116,0.0001046187,0.0002131766,0.000009820433,0.00237888,0.00001918094,0.000009145345,0.9966378,0.000357122],"study_design_scores_gemma":[0.0002623134,0.00002239099,0.000004638545,0.00008513303,0.0001035867,0.00001278179,0.00001545164,0.003412242,0.00002414406,0.000003474524,0.9955368,0.0005170628],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000005776326,0.000006233733,0.0001012534,0.000003833761,0.001843027,0.0001813952,0.9966727,0.0003617181,0.0008240005],"genre_scores_gemma":[0.00003064895,0.001880126,0.000197507,0.0003104611,0.001335916,0.00001351978,0.9960353,0.00007925193,0.0001172874],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3017827,"threshold_uncertainty_score":0.9997717,"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."}}