{"id":"W4398369066","doi":"10.7910/dvn/pkjufn/hofpcp","title":"FCC2001.330.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":[0.00005863696,0.0003763678,0.0004982018,0.0001597583,0.00004297278,0.00003588041,0.0007105734,0.0005417754,0.01090344],"category_scores_gemma":[0.00002188308,0.00039702,0.0001171544,0.0001851961,0.0000522698,0.0001158607,0.00009040131,0.0006622769,0.2849429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005231703,"about_ca_system_score_gemma":0.00002907934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001699404,"about_ca_topic_score_gemma":0.0002670862,"domain_scores_codex":[0.9986938,0.00001259626,0.0003588786,0.0003722027,0.0002001352,0.0003624237],"domain_scores_gemma":[0.9986069,0.0000192969,0.00005543501,0.001152741,0.00001604125,0.0001496156],"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":[0.000005140086,0.00001139129,0.000002545126,0.0004484775,0.0001131217,0.0004024386,0.000008790174,0.00005256342,0.00003822054,0.00003710395,0.9986494,0.000230848],"study_design_scores_gemma":[0.0002726199,0.00002263612,0.00001323792,0.00007081658,0.00009692072,0.00002829339,0.00001609464,0.00007030688,0.00003545938,0.000009083474,0.9989682,0.0003963658],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000009442767,0.000005054486,0.0001731761,0.000004440406,0.001379156,0.0002129526,0.99695,0.0008490362,0.0004167182],"genre_scores_gemma":[0.0001418172,0.0005293713,0.0001595371,0.00009436277,0.0003350936,0.00003167397,0.9985841,0.00005813183,0.0000659374],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2740395,"threshold_uncertainty_score":0.9998482,"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."}}