{"id":"W4398581738","doi":"10.7910/dvn/pkjufn/mmlsb1","title":"FCC2001.354.ran","year":2020,"lang":"ru","type":"dataset","venue":"Harvard Dataverse","topic":"Transport Systems and Technology","field":"Engineering","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":[0.001117089,0.003476293,0.001758902,0.004684416,0.001195619,0.003632181,0.003828424,0.003068105,0.1026679],"category_scores_gemma":[0.006315196,0.0009337688,0.001536649,0.007966858,0.0005957808,0.002004483,0.002129916,0.002005454,0.1874586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001724069,"about_ca_system_score_gemma":0.00227101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0342564,"about_ca_topic_score_gemma":0.04660579,"domain_scores_codex":[0.9987237,0.0002088093,0.0001280907,0.0004017888,0.0002630009,0.0002745962],"domain_scores_gemma":[0.9973963,0.0005135495,0.0002097243,0.0008971021,0.0006707568,0.0003124966],"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":[0.00003836694,0.00001213417,0.0002252111,0.0002084003,0.00001418375,0.000008376166,0.000007779737,0.0001832814,0.0000467255,0.0002523765,0.9982187,0.0007845003],"study_design_scores_gemma":[0.0003482004,0.00003323478,0.002822021,0.0002774158,0.00003103888,0.0000524418,0.00008448883,0.0009805915,0.0004150338,0.001532184,0.9933843,0.0000391919],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007035158,0.00003832855,0.00002977033,0.00004341449,0.00002687425,0.000004429072,0.9986998,0.0004880213,0.000598973],"genre_scores_gemma":[0.0002601118,0.00002728447,0.00009313342,0.00002874392,0.00000831455,0.00001924905,0.9991026,0.00007905013,0.0003815298],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8973321,"threshold_uncertainty_score":0.3434584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01207187629232613,"score_gpt":0.2014781455471561,"score_spread":0.18940626925483,"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."}}