{"id":"W4398387367","doi":"10.7910/dvn/pkjufn/9wyart","title":"FCC2001.003.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":[0.0009553664,0.003103793,0.001642083,0.003425011,0.001112984,0.003214225,0.003867385,0.00290997,0.09534363],"category_scores_gemma":[0.005404085,0.0007219191,0.001628367,0.006205437,0.0005231839,0.001823542,0.002011138,0.001716619,0.1668202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00172192,"about_ca_system_score_gemma":0.002132309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04173459,"about_ca_topic_score_gemma":0.06634191,"domain_scores_codex":[0.9989292,0.0001569786,0.0001083777,0.0003153865,0.0002272866,0.000262682],"domain_scores_gemma":[0.9979084,0.0003841759,0.0001668185,0.000639652,0.0006250779,0.0002759852],"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":[0.00004743206,0.00001065297,0.000252132,0.0002307891,0.00001309703,0.000008880997,0.000006427385,0.0002096578,0.00004511442,0.0002276839,0.9978879,0.001060146],"study_design_scores_gemma":[0.0003585515,0.00003300826,0.003001965,0.000268757,0.00003114466,0.00005479273,0.00007425973,0.001105782,0.0003755664,0.001622386,0.9930374,0.00003644508],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007784957,0.00004903374,0.00003508162,0.00006286361,0.0000321742,0.000005815866,0.9985452,0.0004336977,0.0007583664],"genre_scores_gemma":[0.0003313505,0.00003935963,0.0001173236,0.00004604848,0.00001148894,0.00002320737,0.9988497,0.00006655924,0.0005149344],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9046564,"threshold_uncertainty_score":0.3189563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01177756296915611,"score_gpt":0.1999139952902613,"score_spread":0.1881364323211052,"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."}}