{"id":"W4398737181","doi":"10.7910/dvn/pkjufn/ncyymy","title":"FCC2001.303.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":[0.00006165783,0.0004486041,0.0004869325,0.00009788297,0.00006249751,0.0001123242,0.0006719812,0.0003698813,0.01631274],"category_scores_gemma":[0.00004236848,0.0004733113,0.0001384475,0.00019268,0.00004669725,0.0001691119,0.0001973103,0.0007415368,0.3295728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007279118,"about_ca_system_score_gemma":0.00002836742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007654334,"about_ca_topic_score_gemma":0.00006420338,"domain_scores_codex":[0.998506,0.00002802327,0.0003312743,0.0003992166,0.0002803544,0.0004550965],"domain_scores_gemma":[0.9985411,0.00004668458,0.00005872803,0.001070056,0.00002313697,0.0002603364],"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":[0.0000103514,0.0000136001,3.992038e-7,0.0002429581,0.0001049714,0.0002237513,0.000009789784,0.002957424,0.00002035415,0.000007341175,0.9960446,0.000364475],"study_design_scores_gemma":[0.000264733,0.00002266692,0.000004302693,0.00008628419,0.000103629,0.00001328639,0.00001563128,0.003942281,0.00002162031,0.00000377644,0.9950048,0.0005170053],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000006662552,0.000005899062,0.00008712873,0.000004425595,0.001772394,0.0001788165,0.9967557,0.0003716699,0.0008173733],"genre_scores_gemma":[0.00003243897,0.002126101,0.0001785019,0.0003000629,0.001437512,0.00001337127,0.9957161,0.00007927799,0.0001166322],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3132601,"threshold_uncertainty_score":0.9997718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01183837043566209,"score_gpt":0.1998953225487678,"score_spread":0.1880569521131057,"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."}}