{"id":"W4398512072","doi":"10.7910/dvn/pkjufn/lnw4c3","title":"FCC2002.353.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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004287221,0.0009750733,0.001007063,0.0002596471,0.0001967154,0.0003007737,0.002681221,0.0006314655,0.2084471],"category_scores_gemma":[0.001381808,0.001037781,0.000336632,0.0006664392,0.0002613129,0.000602054,0.001678439,0.00145393,0.9947395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003243997,"about_ca_system_score_gemma":0.0003208041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004190658,"about_ca_topic_score_gemma":0.0003698868,"domain_scores_codex":[0.995058,0.0002825445,0.0007228748,0.00148337,0.001521688,0.0009315145],"domain_scores_gemma":[0.9944381,0.0001565027,0.0005366235,0.004037628,0.0001025835,0.000728539],"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":[0.0001988181,0.0001606404,0.000002010327,0.0002588929,0.0002595821,0.00131773,0.00002339086,0.00000281595,0.0001369403,0.00001564244,0.9975181,0.0001054021],"study_design_scores_gemma":[0.001068667,0.0000817024,0.00001460017,0.0001291984,0.0006053528,0.00005845198,0.00005667096,0.00002475759,0.00003475307,0.00001168076,0.9968303,0.001083898],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000002132597,7.225744e-7,0.000006946639,0.000006833128,0.001159662,0.0006146248,0.9969301,0.000448701,0.0008302927],"genre_scores_gemma":[0.000001930988,0.0001832334,0.0003792889,0.00134128,0.001234487,0.00006073629,0.9960533,0.0002539087,0.0004918269],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7862924,"threshold_uncertainty_score":0.9992073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02500825657205191,"score_gpt":0.253556626914746,"score_spread":0.2285483703426941,"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."}}