{"id":"W4398293583","doi":"10.7910/dvn/pkjufn/qfnsf9","title":"FCC2001.251.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":[0.00005859165,0.0003761388,0.0004978846,0.0001596674,0.00004289199,0.00003586852,0.0007104388,0.0005417166,0.01048644],"category_scores_gemma":[0.00002187075,0.0003969986,0.0001171489,0.0001850618,0.00005226773,0.0001161719,0.00009034146,0.0006621222,0.2878804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005241137,"about_ca_system_score_gemma":0.00002907184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001700256,"about_ca_topic_score_gemma":0.0002652135,"domain_scores_codex":[0.998694,0.00001258824,0.000358858,0.0003721132,0.0002000719,0.0003623755],"domain_scores_gemma":[0.9986073,0.00001929377,0.00005543734,0.001152367,0.00001603649,0.0001496017],"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":[0.000004980955,0.00001154899,0.000002527124,0.0004483347,0.0001130582,0.0004021988,0.000008778277,0.00005256199,0.00003840472,0.00003653074,0.9986534,0.000227685],"study_design_scores_gemma":[0.0002700069,0.00002263286,0.00001354715,0.00007079718,0.00009688035,0.00002828906,0.00001607535,0.00007030591,0.00003564925,0.000009085952,0.9989704,0.000396349],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000009497561,0.000005004081,0.0001731584,0.000004427065,0.001384699,0.0002129245,0.9969329,0.0008682724,0.0004090707],"genre_scores_gemma":[0.000142381,0.0005278377,0.0001591003,0.00009435893,0.00033499,0.00003172772,0.9985854,0.00005907809,0.00006510367],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2773939,"threshold_uncertainty_score":0.9998482,"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."}}