{"id":"W4398366522","doi":"10.7910/dvn/pkjufn/swkjus","title":"FCC2003.355.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":[0.00151831,0.003052847,0.001775081,0.005009091,0.001130866,0.003783902,0.00413646,0.003009737,0.1782078],"category_scores_gemma":[0.008979885,0.0009721664,0.001555077,0.008339654,0.0007131086,0.002269091,0.002562429,0.002018629,0.2409814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002107669,"about_ca_system_score_gemma":0.002613686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04253657,"about_ca_topic_score_gemma":0.06160939,"domain_scores_codex":[0.9986408,0.0002892682,0.0001253333,0.0004047595,0.0002684094,0.000271351],"domain_scores_gemma":[0.996615,0.0008063113,0.0002707969,0.001024757,0.0008851122,0.0003980411],"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":[0.00002947045,0.000007453636,0.0001501162,0.000227897,0.00001321172,0.000005738856,0.000007894788,0.0001225626,0.00003049932,0.0002603336,0.9984753,0.0006696563],"study_design_scores_gemma":[0.0002842785,0.00002177913,0.001687987,0.0002946839,0.00002756622,0.00003524096,0.00006632693,0.0005545616,0.0002778405,0.001627101,0.9950892,0.00003346304],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004766488,0.00004413615,0.00003209696,0.00006744261,0.00002657192,0.000004685,0.998666,0.0004346266,0.0006767472],"genre_scores_gemma":[0.000251532,0.00003737078,0.0001145609,0.00005831137,0.00001071357,0.0000299505,0.9987025,0.0001381318,0.0006569672],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8217922,"threshold_uncertainty_score":0.5961643,"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."}}