{"id":"W4398346843","doi":"10.7910/dvn/pkjufn/f2dsrk","title":"FCC2001.255.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":[0.001455892,0.003268447,0.001826789,0.004955899,0.001174012,0.003694478,0.004291994,0.003146114,0.1643343],"category_scores_gemma":[0.00880638,0.0009784241,0.001597353,0.007768467,0.000711749,0.002330544,0.00248491,0.002063217,0.2274427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002161285,"about_ca_system_score_gemma":0.002657221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04327193,"about_ca_topic_score_gemma":0.06471226,"domain_scores_codex":[0.9986455,0.0002818986,0.0001207997,0.0004209053,0.0002654993,0.0002653671],"domain_scores_gemma":[0.9967525,0.0007824666,0.0002466191,0.0009834422,0.0008465722,0.0003883247],"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":[0.00003024557,0.000008217855,0.0001478205,0.0002342707,0.00001361116,0.000005948519,0.000007795363,0.0001293174,0.00003273714,0.0002488416,0.9984406,0.0007006276],"study_design_scores_gemma":[0.0002991029,0.00002407304,0.001689701,0.0003087482,0.00003077533,0.00003878423,0.00006804417,0.0006514261,0.0003167006,0.001716427,0.9948204,0.00003579942],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005635307,0.00005106758,0.00003600874,0.0000750375,0.00003031245,0.000005424538,0.9985018,0.0005193129,0.0007246457],"genre_scores_gemma":[0.0002543856,0.00003799354,0.0001234055,0.00005875056,0.00001061519,0.00003001269,0.9987063,0.0001422685,0.0006360846],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8356657,"threshold_uncertainty_score":0.549753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02489124798400566,"score_gpt":0.2557219760424267,"score_spread":0.2308307280584211,"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."}}