{"id":"W4398415192","doi":"10.7910/dvn/pkjufn/pmmeit","title":"FCC2001.123.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":[0.0000584291,0.0003752873,0.0004961932,0.0001593778,0.0000428431,0.00003580171,0.0007075737,0.0005411588,0.009130641],"category_scores_gemma":[0.00002173584,0.0003956197,0.0001168143,0.0001848641,0.00005213998,0.0001157538,0.00008990432,0.0006601021,0.3442447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005450023,"about_ca_system_score_gemma":0.00002985057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000158696,"about_ca_topic_score_gemma":0.0002655319,"domain_scores_codex":[0.9986972,0.00001257166,0.0003582668,0.0003708729,0.0001995178,0.0003616186],"domain_scores_gemma":[0.9986136,0.0000192317,0.00005533455,0.00114671,0.00001601079,0.0001491275],"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":[0.000005010022,0.00001102817,0.000002525685,0.0004470097,0.000113149,0.0004009462,0.000008728558,0.00005462126,0.00003764217,0.00002851965,0.9986566,0.0002342055],"study_design_scores_gemma":[0.0002698162,0.00002272566,0.00001377059,0.00006965398,0.00009675705,0.00002793444,0.00001604302,0.00007222562,0.00003577446,0.000009129764,0.9989707,0.0003954071],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000009433857,0.000004992902,0.0001731895,0.000004384101,0.001384718,0.0002126167,0.9969527,0.0008468778,0.0004111014],"genre_scores_gemma":[0.0001414917,0.0005271964,0.0001593119,0.00009414458,0.0003341941,0.00003173063,0.9985892,0.00005799758,0.00006468871],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.335114,"threshold_uncertainty_score":0.9998496,"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."}}