{"id":"W4398565030","doi":"10.7910/dvn/pkjufn/lidg7c","title":"FCC2003.127.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":[0.001192974,0.003742008,0.001958365,0.004295054,0.001282945,0.00387922,0.004100689,0.003326194,0.1043693],"category_scores_gemma":[0.005189445,0.000956576,0.001748085,0.007569797,0.0006453007,0.002048379,0.002415622,0.002055519,0.2143192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001847587,"about_ca_system_score_gemma":0.002463334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03646781,"about_ca_topic_score_gemma":0.05855247,"domain_scores_codex":[0.9986505,0.0002349564,0.0001411026,0.0004050565,0.0002755511,0.0002928536],"domain_scores_gemma":[0.9979599,0.0003854622,0.0001574338,0.0006800547,0.0005607539,0.0002564316],"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":[0.0000440679,0.00001539018,0.0002047157,0.0002815609,0.00001779681,0.00001172982,0.000009650613,0.0001881629,0.00006990194,0.0002683707,0.9980189,0.0008697621],"study_design_scores_gemma":[0.0003412395,0.0000342642,0.002267482,0.0003039077,0.00003275127,0.00006140752,0.00008037906,0.000836284,0.0004586196,0.001342184,0.9942022,0.00003930505],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007601556,0.00004791257,0.00003793335,0.00003955979,0.00003204624,0.000005641607,0.9984038,0.0005940552,0.0007629445],"genre_scores_gemma":[0.0001866935,0.00002662747,0.00009711134,0.00002936638,0.000006208156,0.00001861223,0.9991938,0.00007538735,0.0003662283],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8956307,"threshold_uncertainty_score":0.3491502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01068429521764004,"score_gpt":0.1944484526023185,"score_spread":0.1837641573846785,"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."}}