{"id":"W4398595602","doi":"10.7910/dvn/pkjufn/uujtlj","title":"FCC2001.158.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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001087406,0.003821493,0.001852674,0.004332084,0.001225113,0.003638738,0.003797249,0.00328428,0.1077973],"category_scores_gemma":[0.005047983,0.0009506403,0.001729398,0.006833259,0.0006267116,0.002028668,0.002357344,0.002092924,0.2164298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001784882,"about_ca_system_score_gemma":0.002303514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0351559,"about_ca_topic_score_gemma":0.05393436,"domain_scores_codex":[0.9987524,0.0002098575,0.0001254986,0.0003870659,0.0002547063,0.0002705755],"domain_scores_gemma":[0.9979388,0.0003863377,0.000159106,0.0006993714,0.0005487184,0.0002677865],"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":[0.00004175626,0.00001500322,0.0001959956,0.0002459048,0.0000159567,0.000009729025,0.000008696716,0.0001751291,0.00006409887,0.0002566996,0.9981743,0.0007966601],"study_design_scores_gemma":[0.0003560355,0.00003396036,0.002504032,0.0002959067,0.00003259927,0.00005742845,0.00008419896,0.000848171,0.0004481112,0.001400953,0.9938981,0.00004052266],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007262002,0.00004174599,0.00003472501,0.00004226152,0.00003266755,0.000005129139,0.9985066,0.0005324055,0.0007316956],"genre_scores_gemma":[0.000204369,0.00002745715,0.0000969602,0.00003137269,0.000006777177,0.00001856448,0.9991125,0.00007942641,0.0004224614],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8922027,"threshold_uncertainty_score":0.3606181,"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."}}