{"id":"W4398399000","doi":"10.7910/dvn/pkjufn/9g5nev","title":"FCC2003.167.ran","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","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":[0.001410909,0.003169636,0.00184813,0.00481432,0.001183654,0.004033506,0.004188781,0.003200254,0.1733347],"category_scores_gemma":[0.008215318,0.0009855791,0.001610811,0.008349009,0.0007008881,0.00235318,0.002520362,0.002059708,0.2487135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002169568,"about_ca_system_score_gemma":0.002666948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04438081,"about_ca_topic_score_gemma":0.06674504,"domain_scores_codex":[0.9986874,0.0002731599,0.0001290085,0.0003956077,0.0002516705,0.0002630413],"domain_scores_gemma":[0.9970019,0.0006973867,0.0002344129,0.0008972409,0.0008169023,0.0003521988],"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":[0.0000304263,0.000008062673,0.0001407282,0.0002520672,0.00001352353,0.000006287049,0.000008176921,0.0001143973,0.0000346747,0.0002618951,0.9984692,0.0006605677],"study_design_scores_gemma":[0.0002858837,0.00002144713,0.001558445,0.0002980228,0.00002706844,0.00003523632,0.00006507961,0.0004800952,0.0002798876,0.001445463,0.995471,0.00003234929],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004733689,0.00004762824,0.0000311534,0.00006416039,0.00002824489,0.00000481719,0.9985733,0.0004670309,0.0007362595],"genre_scores_gemma":[0.0002247608,0.00003770753,0.000111077,0.00005495807,0.000009696736,0.00002828659,0.9987715,0.0001351363,0.0006268148],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8266653,"threshold_uncertainty_score":0.5798625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0247673236901295,"score_gpt":0.2551844532484137,"score_spread":0.2304171295582842,"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."}}