{"id":"W4398673154","doi":"10.7910/dvn/pkjufn/sxbrxw","title":"FCC2001.347.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":[0.001061339,0.003341262,0.001673224,0.004553327,0.001067783,0.003375902,0.003591452,0.002873769,0.1069969],"category_scores_gemma":[0.005652737,0.0008747235,0.00154422,0.007877918,0.0005651744,0.00186197,0.002115321,0.001885277,0.1869385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001727544,"about_ca_system_score_gemma":0.002279731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03855492,"about_ca_topic_score_gemma":0.05590533,"domain_scores_codex":[0.9988391,0.000194111,0.0001156507,0.0003529516,0.0002446683,0.0002535421],"domain_scores_gemma":[0.9976895,0.0004643229,0.0001951783,0.0007280942,0.0006305043,0.0002924348],"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":[0.00003525985,0.00001144794,0.0002217651,0.0002210044,0.00001439727,0.000008109951,0.000007599176,0.0001940903,0.00004249574,0.0002570882,0.998206,0.0007806538],"study_design_scores_gemma":[0.0003059812,0.00002757636,0.002518709,0.0002828838,0.00002882227,0.0000456736,0.00007625444,0.0008706591,0.0003351196,0.001433435,0.9940392,0.00003572355],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006462349,0.00004017733,0.00002917711,0.00004272012,0.00002620175,0.000004241543,0.9987535,0.000397155,0.0006421661],"genre_scores_gemma":[0.0002368709,0.00003126459,0.00008794181,0.00003172948,0.000007543214,0.00001874138,0.9990741,0.00007090916,0.0004408281],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8930031,"threshold_uncertainty_score":0.3579402,"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."}}