{"id":"W4398696465","doi":"10.7910/dvn/pkjufn/zxya9d","title":"FCC2002.249.ran","year":2020,"lang":"en","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":[0.001144423,0.003705299,0.001813586,0.004196186,0.001273276,0.003714661,0.004092597,0.003295009,0.0998036],"category_scores_gemma":[0.005149957,0.0009095256,0.001707592,0.006654839,0.0006321577,0.002014802,0.002348302,0.002061079,0.2043993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001730268,"about_ca_system_score_gemma":0.002240195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03487641,"about_ca_topic_score_gemma":0.05435609,"domain_scores_codex":[0.998753,0.000212732,0.0001219362,0.0003881847,0.0002481309,0.0002760786],"domain_scores_gemma":[0.9979634,0.0003750655,0.0001571805,0.0006941734,0.0005457464,0.0002644573],"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":[0.00004287829,0.00001602326,0.0002226979,0.0002359888,0.00001674577,0.0000106684,0.000008729274,0.0001840298,0.00006211173,0.0002581058,0.9980986,0.0008434742],"study_design_scores_gemma":[0.0003500117,0.00003570789,0.002597686,0.0002905531,0.00003338667,0.00006208875,0.00008403821,0.0009299429,0.0004524417,0.001416245,0.9937069,0.00004104701],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008543365,0.00004669735,0.00003871077,0.00004581778,0.00003575885,0.000005728022,0.9983741,0.0005642139,0.0008035479],"genre_scores_gemma":[0.0002229945,0.0000258908,0.00009986977,0.00003230722,0.000007463415,0.00001929344,0.9990981,0.00007154244,0.0004226013],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9001964,"threshold_uncertainty_score":0.3338763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01030042744879746,"score_gpt":0.1905832209160307,"score_spread":0.1802827934672333,"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."}}