{"id":"W4398507703","doi":"10.7910/dvn/pkjufn/4hvoli","title":"FCC2001.301.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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00005942872,0.00037841,0.0005003337,0.0001598514,0.00004310778,0.00003613522,0.0007086861,0.0005391473,0.01028034],"category_scores_gemma":[0.00002216642,0.0003964154,0.0001155601,0.0001867245,0.00005282794,0.0001158658,0.00008965594,0.0006652207,0.2754816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005239895,"about_ca_system_score_gemma":0.00002926068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001639385,"about_ca_topic_score_gemma":0.0002431582,"domain_scores_codex":[0.9986878,0.00001245776,0.0003587723,0.0003735872,0.0002049777,0.0003624169],"domain_scores_gemma":[0.9986042,0.00001903356,0.00005614708,0.001153485,0.00001674036,0.0001503641],"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":[0.000005345743,0.00001146742,0.000002590874,0.0004478953,0.000114942,0.0004025407,0.000009043194,0.00005309574,0.00003851008,0.00003691894,0.9986557,0.0002220019],"study_design_scores_gemma":[0.0002809641,0.00002340461,0.00001320511,0.00007211272,0.00009832419,0.00002906203,0.00001684009,0.00006953497,0.00003517765,0.000009402886,0.9989528,0.0003991922],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000009280563,0.000005155027,0.0001797227,0.00000444166,0.001362873,0.0002149356,0.9969634,0.0008491688,0.0004110297],"genre_scores_gemma":[0.0001419482,0.0005476861,0.0001617334,0.00009384438,0.0003314416,0.0000322784,0.9985638,0.0000586786,0.00006857935],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2652012,"threshold_uncertainty_score":0.9998488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0103163465775718,"score_gpt":0.1925518849053917,"score_spread":0.1822355383278199,"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."}}