{"id":"W4398315459","doi":"10.7910/dvn/pkjufn/zfhmln","title":"FCC2003.307.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":[0.001430446,0.003080942,0.001790471,0.004880183,0.001126993,0.003728782,0.004161763,0.003052013,0.174941],"category_scores_gemma":[0.008642809,0.0009589357,0.001534958,0.008249714,0.000712571,0.002302326,0.002513489,0.002024343,0.2421515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002103348,"about_ca_system_score_gemma":0.00264914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04187486,"about_ca_topic_score_gemma":0.06187954,"domain_scores_codex":[0.9986948,0.0002731119,0.0001231302,0.0003871903,0.0002587274,0.0002630851],"domain_scores_gemma":[0.9968305,0.0007345079,0.0002515971,0.0009603293,0.0008401341,0.000382904],"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":[0.00002854908,0.000007325153,0.0001378318,0.0002250659,0.00001228319,0.00000556252,0.000007377889,0.0001193025,0.00002921088,0.0002492845,0.9985337,0.0006445679],"study_design_scores_gemma":[0.0002814613,0.00002159423,0.001608494,0.0002912793,0.00002667781,0.00003380741,0.00006492486,0.0005615532,0.0002774801,0.001648926,0.9951507,0.00003317888],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004818496,0.00004538882,0.00003158067,0.00006985702,0.00002728819,0.000004871179,0.9986234,0.0004512318,0.0006983101],"genre_scores_gemma":[0.0002521178,0.00003861561,0.0001139773,0.00005814091,0.00001053659,0.00003000377,0.9987142,0.0001337275,0.0006486811],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8250591,"threshold_uncertainty_score":0.5852358,"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."}}