{"id":"W4398519475","doi":"10.7910/dvn/pkjufn/ptxhj1","title":"FCC2001.325.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":[0.00005740469,0.0003753039,0.0004947641,0.0001620339,0.00004280215,0.00003582189,0.0007077956,0.0005532799,0.0114864],"category_scores_gemma":[0.00002147039,0.0003963023,0.0001171203,0.0001851383,0.00005205895,0.0001155363,0.00008838293,0.0006730862,0.2859805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005029916,"about_ca_system_score_gemma":0.00002908726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001640706,"about_ca_topic_score_gemma":0.0002491511,"domain_scores_codex":[0.9986981,0.00001253517,0.0003578483,0.0003704082,0.0001998236,0.0003613197],"domain_scores_gemma":[0.9986138,0.00001915273,0.0000553241,0.001146465,0.00001597622,0.000149324],"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":[0.000005007844,0.00001143594,0.000001974598,0.0004473101,0.0001159542,0.0004066745,0.00000873212,0.00004082006,0.00004314387,0.00004481476,0.9986843,0.000189871],"study_design_scores_gemma":[0.0002728574,0.00002261222,0.00001178069,0.00007229352,0.00009928187,0.0000283087,0.0000169839,0.00005633945,0.00003815941,0.00001100566,0.9989748,0.0003955817],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001027747,0.000004982081,0.0001682515,0.000004995105,0.001386486,0.0002119898,0.99695,0.0008558839,0.000407095],"genre_scores_gemma":[0.0001353309,0.0004573123,0.00015376,0.00009475504,0.0003334391,0.00003171356,0.9986664,0.00005859834,0.00006870945],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2744941,"threshold_uncertainty_score":0.9998489,"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."}}