{"id":"W4398267603","doi":"10.7910/dvn/pkjufn/lwlx3y","title":"FCC2003.264.ran","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Telecommunications and Broadcasting Technologies","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009459903,0.002965463,0.00156259,0.004141564,0.0009712017,0.00307772,0.003350331,0.002579644,0.09397639],"category_scores_gemma":[0.004768524,0.000770168,0.001419878,0.007932285,0.0005156804,0.001850512,0.001899298,0.001792144,0.1728675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001571003,"about_ca_system_score_gemma":0.002150696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03696476,"about_ca_topic_score_gemma":0.05658136,"domain_scores_codex":[0.9988856,0.000179548,0.0001138435,0.0003212465,0.0002499824,0.0002498742],"domain_scores_gemma":[0.9980111,0.0003789167,0.0001792186,0.0006318731,0.0005708945,0.0002280912],"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":[0.00004315344,0.00001204798,0.0002317092,0.0002265706,0.00001465564,0.000009130604,0.000007067228,0.0001934211,0.0000514202,0.0002818384,0.9980111,0.0009179682],"study_design_scores_gemma":[0.000265136,0.00002385505,0.002408548,0.0002202764,0.00002516776,0.00004318381,0.00006299466,0.0007067981,0.00033715,0.001243391,0.9946339,0.00002970446],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006526907,0.00004012443,0.00003100081,0.00003774262,0.00002229919,0.000003924059,0.9987099,0.0003654255,0.0007243988],"genre_scores_gemma":[0.0002254492,0.00003028837,0.00008882106,0.00002795622,0.000007047547,0.00001609175,0.9991014,0.00006584155,0.0004371007],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9060236,"threshold_uncertainty_score":0.3143824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02072840809989138,"score_gpt":0.2256530357675531,"score_spread":0.2049246276676618,"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."}}