{"id":"W4398744876","doi":"10.7910/dvn/pkjufn/mxkvc7","title":"FCC2001.224.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":[0.00006132443,0.0004483421,0.0004863789,0.00009793444,0.00006158744,0.0001144254,0.0006816186,0.0003689484,0.01593815],"category_scores_gemma":[0.00004095973,0.0004730443,0.0001396071,0.0001893217,0.00004594825,0.0001728651,0.0001987614,0.0007401558,0.3319713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006979005,"about_ca_system_score_gemma":0.00002754664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007669388,"about_ca_topic_score_gemma":0.00006540991,"domain_scores_codex":[0.9985083,0.00002797918,0.0003307538,0.0003987222,0.0002799623,0.0004542754],"domain_scores_gemma":[0.9985424,0.00004765776,0.00005864672,0.001069103,0.00002266763,0.0002595026],"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":[0.00001005559,0.00001400235,4.302479e-7,0.0002431173,0.0001046646,0.0001705743,0.00000975169,0.002757435,0.00002650411,0.000007312065,0.9963118,0.0003443263],"study_design_scores_gemma":[0.0002563426,0.00002225343,0.00000459663,0.00008658256,0.0001035779,0.00001321498,0.00001515068,0.0029635,0.00001986787,0.000003874947,0.995994,0.0005170676],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000006664062,0.000006046625,0.0001066771,0.000004363266,0.001771144,0.0001789227,0.9967778,0.0003910518,0.0007572804],"genre_scores_gemma":[0.00002609525,0.002040765,0.0002213579,0.000304304,0.001434437,0.00001338737,0.9957624,0.00008226233,0.0001149839],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3160331,"threshold_uncertainty_score":0.9997721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01184558204832753,"score_gpt":0.1998632451143943,"score_spread":0.1880176630660668,"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."}}