{"id":"W4398442016","doi":"10.7910/dvn/pkjufn/z1yiql","title":"FCC2001.130.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":[0.00116014,0.003653087,0.001858869,0.004308444,0.001228428,0.003686853,0.003960246,0.003193422,0.1013474],"category_scores_gemma":[0.005198287,0.0009152139,0.001677026,0.00718778,0.0006261023,0.002022976,0.002388021,0.002034103,0.2036225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001755218,"about_ca_system_score_gemma":0.00231165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03434893,"about_ca_topic_score_gemma":0.05710928,"domain_scores_codex":[0.9987283,0.0002199291,0.0001250783,0.0003946878,0.0002540806,0.0002778047],"domain_scores_gemma":[0.9979468,0.0003887094,0.0001631752,0.0006926049,0.000546552,0.0002621927],"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":[0.00004097314,0.00001496058,0.0002174458,0.0002603866,0.00001665636,0.00001071627,0.0000091511,0.0001783652,0.00006309901,0.0002650133,0.998076,0.0008471597],"study_design_scores_gemma":[0.0003269202,0.00003289177,0.002457712,0.0003076085,0.00003209609,0.00006098241,0.00008100845,0.0008199771,0.0004163355,0.001371944,0.994054,0.00003850106],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007897014,0.00004887121,0.00003696392,0.00004252639,0.00003185531,0.000005383147,0.9984468,0.000543202,0.0007654669],"genre_scores_gemma":[0.0002006498,0.00002763178,0.00009838055,0.00003074911,0.000006663294,0.0000186163,0.9991603,0.00007289078,0.000384189],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8986526,"threshold_uncertainty_score":0.3390409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01028644552546442,"score_gpt":0.1922603851564491,"score_spread":0.1819739396309847,"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."}}