{"id":"W4398609472","doi":"10.7910/dvn/pkjufn/6bxtav","title":"FCC2001.153.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":[0.00005920941,0.0003759417,0.0004972556,0.0001597107,0.00004286071,0.00003585933,0.0007099648,0.0005415515,0.01136286],"category_scores_gemma":[0.00002190837,0.0003968275,0.0001170905,0.0001848578,0.00005225115,0.0001161249,0.00009031378,0.0006632078,0.2913933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005484759,"about_ca_system_score_gemma":0.00003010609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001744304,"about_ca_topic_score_gemma":0.0002676513,"domain_scores_codex":[0.9986922,0.00001265777,0.0003585528,0.0003718045,0.000199935,0.0003648698],"domain_scores_gemma":[0.998608,0.00001925738,0.00005540055,0.001150865,0.00001602529,0.0001504866],"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":[0.000004956455,0.00001103509,0.000002604359,0.0004482206,0.000113251,0.0004006687,0.00000887482,0.00005436971,0.00003752293,0.00003613981,0.9986424,0.000239952],"study_design_scores_gemma":[0.0002660375,0.00002397443,0.00001391405,0.00006987825,0.00009576723,0.00002794731,0.00001627885,0.00007054448,0.00003534272,0.000009100472,0.998975,0.0003961495],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000009430292,0.000005044755,0.0001709847,0.000004302296,0.001376355,0.0002127819,0.9969553,0.0008482548,0.0004174859],"genre_scores_gemma":[0.0001466243,0.0005270846,0.0001591295,0.00009388509,0.0003396437,0.00003168945,0.9985769,0.00005806014,0.00006696176],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2800304,"threshold_uncertainty_score":0.9998484,"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."}}