{"id":"W4398503876","doi":"10.7910/dvn/pkjufn/sziswb","title":"FCC2001.292.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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0000569828,0.000375305,0.0004899417,0.0001585329,0.00004268677,0.00003571591,0.0006950814,0.0005395516,0.009470676],"category_scores_gemma":[0.00002176515,0.000396531,0.0001163737,0.0001828796,0.00005174351,0.0001155938,0.0000897566,0.0006582338,0.2871228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005190824,"about_ca_system_score_gemma":0.00002863827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001778326,"about_ca_topic_score_gemma":0.0003432248,"domain_scores_codex":[0.9986992,0.00001243591,0.0003567695,0.0003712245,0.0001992426,0.0003611116],"domain_scores_gemma":[0.9986143,0.00001866063,0.0000550142,0.001146841,0.00001592413,0.0001492606],"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":[0.000004885957,0.00001532883,0.000001878574,0.0003815699,0.0001352895,0.0004079341,0.000008465776,0.00004154765,0.00003245385,0.00005784186,0.9987302,0.0001826307],"study_design_scores_gemma":[0.0003399479,0.00002215424,0.00001093428,0.00006028344,0.0001060255,0.00002863514,0.00001587553,0.00006755228,0.00003374261,0.00001170986,0.9989073,0.0003958315],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000007820633,0.000005049586,0.0002087373,0.000003776062,0.001376247,0.0002100164,0.996817,0.0008870755,0.0004842604],"genre_scores_gemma":[0.0001221822,0.0005443606,0.0001339788,0.0001053795,0.0003338024,0.00003157589,0.9986046,0.00005999559,0.0000641377],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2776521,"threshold_uncertainty_score":0.9998487,"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."}}