{"id":"W4398382916","doi":"10.7910/dvn/pkjufn/uex7ow","title":"FCC2001.074.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":[0.00110181,0.003233816,0.001657288,0.004333144,0.001081734,0.003207427,0.003644854,0.002815111,0.1013059],"category_scores_gemma":[0.005738685,0.0008373536,0.001510496,0.007239252,0.0005777574,0.001833446,0.002089804,0.001888181,0.1763037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001725035,"about_ca_system_score_gemma":0.002367618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0403704,"about_ca_topic_score_gemma":0.05957777,"domain_scores_codex":[0.9988253,0.000197443,0.0001099,0.0003573002,0.0002516651,0.0002583546],"domain_scores_gemma":[0.9976259,0.0004577508,0.0001938788,0.0007595959,0.0006633871,0.0002996046],"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":[0.00003521764,0.00001128553,0.0002302024,0.0001905428,0.00001383565,0.000007571367,0.000006717853,0.0001898193,0.00003994706,0.0002281594,0.9982753,0.0007715672],"study_design_scores_gemma":[0.0003177318,0.00002834065,0.002887649,0.0002684142,0.00003015863,0.00004728086,0.00007779775,0.0009311704,0.0003543471,0.001435468,0.9935845,0.00003714017],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007070838,0.00003946963,0.00002992848,0.00004639663,0.00002924235,0.000004510172,0.9987699,0.0003888881,0.0006209273],"genre_scores_gemma":[0.000255173,0.00002957057,0.00009153816,0.00003235247,0.000008452178,0.00001973465,0.999027,0.00006677458,0.0004694345],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.898694,"threshold_uncertainty_score":0.3389021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01029687247149214,"score_gpt":0.1923885882061214,"score_spread":0.1820917157346292,"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."}}