{"id":"W4398308289","doi":"10.7910/dvn/pkjufn/2bsmtr","title":"FCC2001.070.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":[0.0009654487,0.00314295,0.001574833,0.003717634,0.001028211,0.003031348,0.003548953,0.002800131,0.08703067],"category_scores_gemma":[0.005435624,0.0007258401,0.001634663,0.006568701,0.0005203278,0.001703012,0.001946691,0.001692063,0.150475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001672844,"about_ca_system_score_gemma":0.002236334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04264145,"about_ca_topic_score_gemma":0.06842966,"domain_scores_codex":[0.9989294,0.0001541249,0.0001084081,0.0003072772,0.0002401223,0.0002607373],"domain_scores_gemma":[0.9978612,0.0004115841,0.0001766255,0.0006302113,0.0006290043,0.0002913643],"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":[0.00004386416,0.00001066512,0.0002582927,0.0002261963,0.0000131162,0.000008761018,0.000006444463,0.0002127354,0.00004320186,0.0002074603,0.9979235,0.001045827],"study_design_scores_gemma":[0.000366456,0.00003573042,0.003508004,0.0002815912,0.00003367881,0.0000585807,0.00008195538,0.00114543,0.0003694986,0.001629992,0.9924504,0.00003871272],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008293556,0.00005035441,0.00003191184,0.00006241073,0.00003181436,0.000005564136,0.9986505,0.0003950612,0.000689567],"genre_scores_gemma":[0.0003193225,0.00004140832,0.0001064636,0.00004382814,0.00001110014,0.00002288652,0.9988981,0.00006149614,0.0004954297],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9129694,"threshold_uncertainty_score":0.2911466,"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."}}