{"id":"W4398382916","doi":"10.7910/dvn/pkjufn/uex7ow","title":"FCC2001.074.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":[0.00005850169,0.0003759561,0.0004978385,0.0001596089,0.00004285536,0.0000358109,0.0007100498,0.0005416265,0.01056643],"category_scores_gemma":[0.0000219563,0.0003968235,0.0001161013,0.0001865496,0.0000521943,0.0001159859,0.0000903258,0.000661907,0.2858369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005221632,"about_ca_system_score_gemma":0.00002926862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000167712,"about_ca_topic_score_gemma":0.0002656424,"domain_scores_codex":[0.9986946,0.00001258086,0.0003586468,0.0003720482,0.000199992,0.0003621587],"domain_scores_gemma":[0.9986069,0.00001927669,0.00005540588,0.001152746,0.00001608644,0.0001495505],"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":[0.00000501441,0.00001138097,0.000002532696,0.0004483936,0.0001132947,0.0004020403,0.000008710458,0.00005251222,0.00003816887,0.00003636712,0.9986525,0.000229085],"study_design_scores_gemma":[0.0002704127,0.00002229954,0.00001328622,0.00007078602,0.00009709189,0.00002798681,0.00001598358,0.00007018134,0.00003511305,0.00000893826,0.9989718,0.0003961483],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000009216181,0.000005128726,0.0001726226,0.000004448683,0.001383471,0.0002127501,0.9969538,0.0008472448,0.0004112669],"genre_scores_gemma":[0.0001368783,0.0005352569,0.0001585723,0.00009413654,0.0003346313,0.00003172243,0.9985825,0.00005806056,0.00006818308],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2752705,"threshold_uncertainty_score":0.9998484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01029687247149214,"score_gpt":0.1923885882061214,"score_spread":0.1820917157346292,"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."}}