{"id":"W4398547965","doi":"10.7910/dvn/pkjufn/dkp19j","title":"FCC2001.304.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":[0.00005815057,0.0003755972,0.0004969265,0.0001183964,0.00004271814,0.00003578575,0.0007092955,0.0005398642,0.01064799],"category_scores_gemma":[0.00002200827,0.0003964552,0.0001169449,0.0001847866,0.00005200761,0.0001157851,0.0000899231,0.0006612535,0.282484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000526731,"about_ca_system_score_gemma":0.00002932865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001501739,"about_ca_topic_score_gemma":0.0002606058,"domain_scores_codex":[0.9986967,0.00001256184,0.0003583475,0.0003714006,0.0001993823,0.000361619],"domain_scores_gemma":[0.9986094,0.00001939721,0.00005534715,0.001150496,0.0000160067,0.0001494152],"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":[0.000005009963,0.0000113727,0.000002571608,0.0004470464,0.0001129989,0.0004021854,0.000008164487,0.00005233845,0.00003751343,0.00003344668,0.9986568,0.0002305348],"study_design_scores_gemma":[0.0002693927,0.00002260286,0.00001400436,0.00007053078,0.0000967992,0.0000278031,0.00001567309,0.00006871978,0.00003484168,0.000009014437,0.9989749,0.0003956916],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000009573555,0.000006309529,0.0001418739,0.000004286988,0.001378782,0.0002123167,0.9970137,0.0008480336,0.0003851383],"genre_scores_gemma":[0.0001282793,0.0006612276,0.0001569193,0.00009244778,0.0003335111,0.00003171301,0.9984731,0.00005806514,0.0000647098],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.271836,"threshold_uncertainty_score":0.9998487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01029844955794291,"score_gpt":0.1923888383812169,"score_spread":0.182090388823274,"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."}}