{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00006150444,0.0004471701,0.0004849042,0.00009571023,0.00006226414,0.0001109293,0.0006611666,0.0003680655,0.01552952],"category_scores_gemma":[0.00004378242,0.0004718461,0.0001331136,0.0002030619,0.00004644461,0.0001674042,0.0001930134,0.0007372954,0.3083151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007198518,"about_ca_system_score_gemma":0.00002905989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000744163,"about_ca_topic_score_gemma":0.00006336331,"domain_scores_codex":[0.998513,0.00002830924,0.0003295008,0.0003968698,0.0002786819,0.0004536461],"domain_scores_gemma":[0.9985523,0.00004442149,0.00005845356,0.001065021,0.00002023854,0.0002595763],"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":[0.00001012713,0.00001358332,4.036853e-7,0.000242171,0.0001047961,0.0002215279,0.000009567866,0.002888964,0.00001969968,0.000007617615,0.9961299,0.0003516294],"study_design_scores_gemma":[0.0002638186,0.00002224287,0.000004183233,0.00008537352,0.0001026191,0.00001307758,0.00001549035,0.003891358,0.00002162207,0.000003528606,0.9950613,0.0005153465],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000005734167,0.000006165392,0.00008961601,0.000003924118,0.001794405,0.0001790963,0.9967448,0.0003653241,0.0008109687],"genre_scores_gemma":[0.00002921763,0.002036382,0.0001844104,0.0002984431,0.001393289,0.00001316064,0.9958582,0.00007900665,0.0001078976],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2927856,"threshold_uncertainty_score":0.9997733,"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."}}