{"id":"W4398509245","doi":"10.7910/dvn/pkjufn/cqzfw8","title":"FCC2001.174.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":[0.00005793753,0.0003750896,0.0004960324,0.0001857089,0.00005397395,0.00004788247,0.0007030292,0.0005401379,0.01193115],"category_scores_gemma":[0.00002149146,0.0003958561,0.0001169066,0.0002476634,0.00005177479,0.0001156964,0.00009003673,0.0006594959,0.2333307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005050173,"about_ca_system_score_gemma":0.00002765137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001882168,"about_ca_topic_score_gemma":0.0002598203,"domain_scores_codex":[0.9986997,0.00001251792,0.0003578097,0.0003701387,0.0001993246,0.0003604816],"domain_scores_gemma":[0.998607,0.00001917751,0.00005522979,0.001153949,0.00001592,0.0001487139],"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":[0.000005011454,0.00001135916,0.000001524127,0.0004490084,0.0001127743,0.000401844,0.000007452555,0.00005228568,0.00003290662,0.00003568633,0.9986796,0.0002105861],"study_design_scores_gemma":[0.0002685544,0.00002273297,0.000006504035,0.00006963182,0.00009668451,0.00002822755,0.00001573276,0.00006956724,0.00004071941,0.00001123992,0.9989753,0.0003950476],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000005140552,0.000004679839,0.0001699139,0.000004311758,0.00134961,0.0002101368,0.9967659,0.000848278,0.0006421009],"genre_scores_gemma":[0.00007737889,0.0005217479,0.0001553329,0.000102737,0.0003322511,0.00003155469,0.9985996,0.00005764213,0.0001217886],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2213996,"threshold_uncertainty_score":0.9998493,"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."}}