{"id":"W4398315072","doi":"10.7910/dvn/pkjufn/j7hp3c","title":"FCC2003.287.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":[0.001498719,0.00334534,0.001883785,0.004976245,0.001223645,0.003833758,0.004432124,0.003289773,0.1694088],"category_scores_gemma":[0.008672213,0.001007477,0.001666656,0.007996232,0.0007413028,0.00233426,0.002540083,0.002116576,0.241135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002153623,"about_ca_system_score_gemma":0.002687221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04332956,"about_ca_topic_score_gemma":0.06484067,"domain_scores_codex":[0.9986321,0.0002905346,0.0001265693,0.0004161264,0.0002683301,0.0002663338],"domain_scores_gemma":[0.9968425,0.000761605,0.0002369713,0.0009567003,0.0008235346,0.0003787354],"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":[0.00003028887,0.000008427248,0.0001378652,0.0002490348,0.00001386942,0.000006143525,0.000008216579,0.0001238992,0.0000347713,0.0002466617,0.9984608,0.0006801232],"study_design_scores_gemma":[0.0003028315,0.00002387913,0.001566048,0.0003025342,0.00003044997,0.00003860814,0.0000670177,0.000613888,0.0003086418,0.001623302,0.9950874,0.00003540376],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000543959,0.00005263726,0.00003727258,0.00007271136,0.00003028763,0.000005559923,0.9984846,0.0005444715,0.0007181831],"genre_scores_gemma":[0.0002380465,0.00003804506,0.0001245694,0.00005811955,0.00001017986,0.00003087996,0.9987349,0.0001453076,0.0006199253],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8305912,"threshold_uncertainty_score":0.5667289,"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."}}