{"id":"W4398306752","doi":"10.7910/dvn/pkjufn/obb6gp","title":"FCC2002.101.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":[0.00006150673,0.0004410946,0.00047851,0.00006236305,0.00006138899,0.0001112026,0.000663478,0.0003591592,0.01700496],"category_scores_gemma":[0.00004792878,0.000464842,0.0001380525,0.00017733,0.00004513966,0.0001643481,0.0001968348,0.0007355477,0.3053365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006846258,"about_ca_system_score_gemma":0.00002088637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004797817,"about_ca_topic_score_gemma":0.00006173565,"domain_scores_codex":[0.9984749,0.00002747204,0.0003260114,0.0003909812,0.0003422462,0.000438375],"domain_scores_gemma":[0.9985652,0.00004997294,0.00005765136,0.001056165,0.00001942453,0.000251596],"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":[0.00001047071,0.00001368933,4.181458e-7,0.000242335,0.0001028401,0.0002112747,0.000009459769,0.002374699,0.00002145184,0.000005805291,0.99648,0.0005275657],"study_design_scores_gemma":[0.000253018,0.00002237049,0.00000445398,0.00008438036,0.0001028776,0.00001233109,0.00001544235,0.003824148,0.00002773579,0.000003104171,0.9951417,0.00050844],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000006263462,0.000005395987,0.0000912326,0.000003890361,0.001584419,0.0001722599,0.996884,0.0003421492,0.0009103135],"genre_scores_gemma":[0.00004116995,0.001530561,0.0001720977,0.0002739416,0.00139139,0.00001336815,0.9963641,0.00007820064,0.0001351781],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2883315,"threshold_uncertainty_score":0.9997804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01219293052335865,"score_gpt":0.1996252985749911,"score_spread":0.1874323680516324,"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."}}