{"id":"W4398263783","doi":"10.7910/dvn/pkjufn/j4wqs5","title":"FCC2001.022.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":[0.001090846,0.003337275,0.00169673,0.004391092,0.001105662,0.003275065,0.003754325,0.00286775,0.1010117],"category_scores_gemma":[0.005720355,0.0008478044,0.0015307,0.007155142,0.0005728466,0.001866903,0.002152733,0.001916641,0.1731129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001733345,"about_ca_system_score_gemma":0.002346975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04005709,"about_ca_topic_score_gemma":0.05880591,"domain_scores_codex":[0.9988106,0.0001993783,0.0001100848,0.0003685714,0.0002509726,0.0002602966],"domain_scores_gemma":[0.9976522,0.0004500805,0.0001912862,0.0007623872,0.0006421359,0.0003019572],"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":[0.00003793047,0.00001164313,0.000236436,0.00020153,0.00001465494,0.000008232289,0.00000726332,0.000202091,0.00004335714,0.0002437355,0.9981959,0.0007972755],"study_design_scores_gemma":[0.0003145694,0.0000282186,0.002743204,0.0002677674,0.00003035671,0.00004841297,0.00007658514,0.0009625214,0.0003534766,0.00148908,0.9936485,0.00003725371],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007146854,0.00004028949,0.00003136435,0.00004677158,0.00002938915,0.000004635733,0.9987469,0.0004155597,0.0006136794],"genre_scores_gemma":[0.0002551312,0.00002886889,0.000095914,0.00003285042,0.00000839636,0.00001977682,0.9990501,0.00007008805,0.0004389088],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8989883,"threshold_uncertainty_score":0.3379178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01027875117288524,"score_gpt":0.1924027314737387,"score_spread":0.1821239803008534,"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."}}