{"id":"W4398437344","doi":"10.7910/dvn/pkjufn/3hm41q","title":"FCC2002.127.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":[0.001163225,0.00365099,0.001874253,0.00431291,0.001254967,0.003729281,0.003971517,0.003253788,0.09934819],"category_scores_gemma":[0.005047128,0.0009184294,0.001687975,0.007353696,0.0006271513,0.001998654,0.002316983,0.002005754,0.204283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001802758,"about_ca_system_score_gemma":0.00239931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03579453,"about_ca_topic_score_gemma":0.05713831,"domain_scores_codex":[0.9986903,0.0002304545,0.000132839,0.0003943986,0.0002673571,0.0002845785],"domain_scores_gemma":[0.9980124,0.0003733538,0.0001552313,0.0006602623,0.0005466145,0.0002521137],"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":[0.00004405517,0.00001566119,0.0002124561,0.000270327,0.00001742993,0.00001166775,0.000009356238,0.000190329,0.00006992401,0.0002700786,0.998015,0.0008734915],"study_design_scores_gemma":[0.0003353631,0.00003493281,0.002389245,0.0002981868,0.00003265851,0.0000614792,0.00008130887,0.0008450094,0.0004564393,0.001315983,0.9941104,0.00003895138],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008144233,0.0000486653,0.00003773816,0.00004065234,0.00003224122,0.000005653174,0.9984054,0.0005640543,0.0007842292],"genre_scores_gemma":[0.0001979857,0.00002673612,0.00009618137,0.00002905455,0.000006329279,0.00001867725,0.9991778,0.00007128606,0.0003760351],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9006518,"threshold_uncertainty_score":0.3323528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01030042744879746,"score_gpt":0.1905832209160307,"score_spread":0.1802827934672333,"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."}}