{"id":"W4398389255","doi":"10.7910/dvn/pkjufn/3z2a8q","title":"FCC2003.332.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":[0.00005800604,0.0003755993,0.0004984535,0.0001570603,0.0000428044,0.00003628465,0.0006980497,0.0005402928,0.01030829],"category_scores_gemma":[0.0000245594,0.0003966897,0.0001108038,0.0002036571,0.00005214134,0.000116204,0.00008723254,0.0006589434,0.278194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005216939,"about_ca_system_score_gemma":0.00003240028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001572578,"about_ca_topic_score_gemma":0.0002490935,"domain_scores_codex":[0.998702,0.00001292811,0.0003588054,0.0003711206,0.0001989621,0.0003561835],"domain_scores_gemma":[0.9986159,0.00001351581,0.00005549907,0.001149448,0.00001794948,0.0001476677],"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":[0.000004801457,0.00001110679,0.000002647497,0.0004518273,0.0001128187,0.0003822583,0.000008812851,0.00004055233,0.00004458254,0.00004625576,0.9986909,0.000203407],"study_design_scores_gemma":[0.0002646258,0.00002233549,0.00001453512,0.00006994577,0.00009662715,0.00002697564,0.00001580255,0.00006188834,0.00004103064,0.000008053331,0.9989824,0.0003958074],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000008913217,0.000005097796,0.0001945508,0.000003897674,0.001440584,0.0002148504,0.9969084,0.0008261458,0.0003975059],"genre_scores_gemma":[0.0001542978,0.0004948457,0.0001727476,0.00009789529,0.000316278,0.00003200171,0.9986098,0.00005798671,0.0000640891],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2678857,"threshold_uncertainty_score":0.9998485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01068429521764004,"score_gpt":0.1944484526023185,"score_spread":0.1837641573846785,"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."}}