{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001147521,0.003498781,0.001720458,0.004263505,0.001194052,0.003423509,0.003833183,0.003083024,0.1057403],"category_scores_gemma":[0.005744378,0.000887978,0.001553087,0.006730298,0.000622216,0.001920873,0.00228347,0.001999205,0.1968987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001753633,"about_ca_system_score_gemma":0.002287078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03648902,"about_ca_topic_score_gemma":0.05574498,"domain_scores_codex":[0.9987621,0.0002145207,0.0001154869,0.0003878416,0.0002577845,0.0002622111],"domain_scores_gemma":[0.9976609,0.0004600007,0.0001855303,0.0007869058,0.0006023683,0.0003042944],"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":[0.00003860052,0.00001300473,0.0002139494,0.0002155567,0.00001429063,0.000008846467,0.000007907621,0.0001843139,0.00004756755,0.0002475713,0.9982201,0.0007883143],"study_design_scores_gemma":[0.0003186544,0.00003177039,0.002547569,0.0002874251,0.00002987795,0.00005436555,0.00007987934,0.0009633051,0.0003790766,0.001506963,0.993763,0.00003805323],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000753078,0.0000414124,0.00003603404,0.00004723728,0.0000314471,0.000005238026,0.9985622,0.0004923095,0.0007088706],"genre_scores_gemma":[0.0002334065,0.00002630435,0.00009697832,0.00003353591,0.000007476097,0.00001992146,0.9990669,0.00007314802,0.0004423335],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8942598,"threshold_uncertainty_score":0.3537364,"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."}}