{"id":"W4398372962","doi":"10.7910/dvn/pkjufn/hmrllu","title":"FCC2001.191.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":[0.00005878558,0.00037555,0.0005026869,0.0001593942,0.00004267922,0.00003577362,0.000710861,0.0005407632,0.01052388],"category_scores_gemma":[0.00002109515,0.000396597,0.0001197361,0.0001847384,0.00005206934,0.000116061,0.00009037545,0.0006599816,0.285245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005199251,"about_ca_system_score_gemma":0.00002868095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001591006,"about_ca_topic_score_gemma":0.0002276502,"domain_scores_codex":[0.9986957,0.00001266841,0.0003570935,0.0003719655,0.0002011027,0.0003615059],"domain_scores_gemma":[0.998601,0.00001883451,0.00005471014,0.001160462,0.00001600828,0.0001490343],"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":[0.000005098692,0.00001128984,0.000002385501,0.0004510388,0.000117724,0.0004200947,0.000008658362,0.00005651133,0.00003665008,0.00003415898,0.9986204,0.0002360069],"study_design_scores_gemma":[0.0002707491,0.0000229905,0.00001221737,0.00007228809,0.00009854045,0.00002978915,0.00001637532,0.00006914867,0.0000338945,0.000008677146,0.9989694,0.0003959285],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000008671152,0.000005044672,0.0001844247,0.000004671079,0.001371445,0.000213239,0.9969491,0.000839027,0.0004243169],"genre_scores_gemma":[0.0001381492,0.0005632354,0.0001606952,0.00009354207,0.0003409622,0.00003179416,0.9985493,0.0000580653,0.00006423759],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2747211,"threshold_uncertainty_score":0.9998486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01064126748982791,"score_gpt":0.194300286794454,"score_spread":0.1836590193046261,"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."}}