{"id":"W4398573922","doi":"10.7910/dvn/pkjufn/jh3c9a","title":"FCC2001.249.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":[0.001136225,0.003743478,0.001843817,0.004212138,0.001273955,0.003760846,0.004048227,0.003346222,0.1053651],"category_scores_gemma":[0.005223977,0.0009393485,0.001712961,0.006644281,0.0006308501,0.002035787,0.002403514,0.002080718,0.2131183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001784809,"about_ca_system_score_gemma":0.002246492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03549852,"about_ca_topic_score_gemma":0.055124,"domain_scores_codex":[0.9987535,0.0002107832,0.0001235575,0.0003864098,0.0002482498,0.000277391],"domain_scores_gemma":[0.9979281,0.0003935651,0.0001599034,0.0006946833,0.0005563187,0.000267421],"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":[0.00004146923,0.00001537202,0.0002098607,0.0002396847,0.00001617829,0.00001014423,0.000008638831,0.0001760239,0.00005978236,0.0002546224,0.9981452,0.0008229225],"study_design_scores_gemma":[0.0003563591,0.00003514982,0.00255507,0.0003077429,0.00003315735,0.00006112917,0.00008332664,0.000905647,0.000445358,0.001441697,0.9937339,0.00004139722],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007715442,0.00004575121,0.00003632635,0.00004545608,0.00003476439,0.000005436929,0.9984269,0.0005473241,0.0007808572],"genre_scores_gemma":[0.0002149035,0.00002697184,0.00009779659,0.00003354565,0.000007407472,0.00001903145,0.9990958,0.00007339785,0.0004312071],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8946349,"threshold_uncertainty_score":0.3524814,"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."}}