{"id":"W4398710164","doi":"10.7910/dvn/pkjufn/nhjaef","title":"FCC2001.004.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":[0.00006096835,0.00044785,0.0004849631,0.00009747938,0.00005958724,0.0001118689,0.0006698821,0.0003686216,0.0158779],"category_scores_gemma":[0.00004106319,0.0004727667,0.0001385867,0.000190826,0.00004654736,0.0001688868,0.0001942803,0.0007392715,0.3289122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007058583,"about_ca_system_score_gemma":0.00002787277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001060622,"about_ca_topic_score_gemma":0.00006895634,"domain_scores_codex":[0.9985108,0.0000275662,0.0003300123,0.0003984114,0.000279585,0.0004536589],"domain_scores_gemma":[0.9985467,0.0000466533,0.00005829551,0.001065955,0.00002269088,0.000259678],"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":[0.00001027178,0.00001406471,3.467521e-7,0.0002458821,0.000106174,0.0002244757,0.00001088331,0.003020557,0.00002056995,0.000005943226,0.9959632,0.0003776658],"study_design_scores_gemma":[0.0002678192,0.00002248221,0.000003686094,0.00008774741,0.0001035466,0.00001316818,0.00001508571,0.003640741,0.00002087891,0.000004889107,0.9953035,0.0005164367],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000006796293,0.000007676293,0.00008715003,0.000003756996,0.001766199,0.0001786252,0.99687,0.0003780513,0.0007017196],"genre_scores_gemma":[0.00002857112,0.002041331,0.0001745989,0.0002928936,0.001421805,0.00001334684,0.9958215,0.00007916469,0.0001268238],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3130343,"threshold_uncertainty_score":0.9997724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01175147587757325,"score_gpt":0.1999307023253153,"score_spread":0.188179226447742,"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."}}