{"id":"W4398386906","doi":"10.7910/dvn/pkjufn/qhvdui","title":"FCC2002.180.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":[0.001481049,0.003347486,0.001813268,0.005037189,0.001202407,0.003743606,0.004221262,0.003164222,0.1485024],"category_scores_gemma":[0.008505551,0.0009460457,0.001563842,0.007886651,0.0007478865,0.002361587,0.00249619,0.002100632,0.2222879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002140068,"about_ca_system_score_gemma":0.002704078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04309038,"about_ca_topic_score_gemma":0.06409016,"domain_scores_codex":[0.9986491,0.0002783334,0.0001185305,0.000413161,0.0002751986,0.0002656377],"domain_scores_gemma":[0.9969213,0.0006886195,0.0002316351,0.0009552538,0.0008238762,0.000379335],"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":[0.00002929716,0.000008304036,0.000143285,0.0002304776,0.00001297342,0.000005964159,0.000007877075,0.0001232683,0.00003558621,0.0002511267,0.998436,0.0007157796],"study_design_scores_gemma":[0.000264901,0.00002255736,0.001631923,0.0002791601,0.00002870373,0.00003748284,0.00006779561,0.0006075812,0.0003209171,0.001562602,0.9951417,0.00003475918],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006275317,0.00005774756,0.00003868364,0.00007851204,0.0000332284,0.000005675759,0.9984244,0.000550875,0.0007481026],"genre_scores_gemma":[0.0002627334,0.00004053255,0.0001258982,0.00005737797,0.00001078873,0.00002989341,0.9987181,0.0001385953,0.0006160679],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8514976,"threshold_uncertainty_score":0.49679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02496969414959594,"score_gpt":0.2535257449433105,"score_spread":0.2285560507937145,"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."}}