{"id":"W4398640192","doi":"10.7910/dvn/pkjufn/yuupkd","title":"FCC2001.155.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":[0.00005811585,0.0003755255,0.0004941895,0.0001623797,0.00004282697,0.00003582007,0.0007096722,0.0005532719,0.0115183],"category_scores_gemma":[0.00002178514,0.0003965239,0.0001165553,0.0001872769,0.00005212648,0.0001156033,0.00008858918,0.0006749406,0.2868938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000506539,"about_ca_system_score_gemma":0.00002926935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001337726,"about_ca_topic_score_gemma":0.0002542385,"domain_scores_codex":[0.9986945,0.00001258776,0.0003577539,0.0003712477,0.0001995949,0.0003643197],"domain_scores_gemma":[0.9986128,0.00001911344,0.00005397756,0.001147786,0.0000159932,0.0001503135],"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":[0.000004999418,0.00001143019,0.000002562135,0.000446173,0.0001153102,0.0004992815,0.000008749048,0.00005449023,0.00003697778,0.00003595112,0.9985543,0.0002297883],"study_design_scores_gemma":[0.0002727944,0.00002261797,0.00001184775,0.00007141933,0.00009899832,0.00003696967,0.00001689166,0.00007064816,0.00003475039,0.000008881087,0.9989583,0.0003958229],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000009442748,0.000005143684,0.0001666466,0.000004391246,0.001403699,0.0002123253,0.9968966,0.0008482003,0.0004536068],"genre_scores_gemma":[0.0001455468,0.0005548469,0.0001527528,0.00009253732,0.0003376338,0.00003166977,0.9985611,0.00005802172,0.0000658323],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2753755,"threshold_uncertainty_score":0.9998487,"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."}}