{"id":"W4398516164","doi":"10.7910/dvn/pkjufn/reacoi","title":"FCC2002.332.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":[0.00005821448,0.0003696117,0.0004891346,0.0001016193,0.0000421005,0.00003545715,0.0007004183,0.0005269032,0.01012364],"category_scores_gemma":[0.00002473677,0.0003897717,0.000115795,0.000172976,0.0000503254,0.0001126969,0.00009001572,0.000651999,0.2427382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005147326,"about_ca_system_score_gemma":0.00002260643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001065146,"about_ca_topic_score_gemma":0.000244043,"domain_scores_codex":[0.9986775,0.00001232902,0.0003536706,0.0003637313,0.0002440672,0.0003487215],"domain_scores_gemma":[0.9986374,0.00001569822,0.00005453474,0.001134009,0.00001371003,0.0001446462],"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":[0.000005070945,0.00001109339,0.00000315596,0.0004439105,0.0001105164,0.0003893332,0.00000847413,0.00004077601,0.00005120239,0.00003124751,0.9986169,0.0002883557],"study_design_scores_gemma":[0.0002563194,0.00002215634,0.00001570067,0.00006929284,0.00009578056,0.00002644586,0.00001566862,0.00007004578,0.00004761016,0.000006743066,0.9989847,0.000389556],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001005243,0.000004418413,0.0001811798,0.000004080488,0.001309326,0.0002048221,0.9970988,0.0007816399,0.0004056573],"genre_scores_gemma":[0.0002181972,0.0004230805,0.0001538908,0.00009182945,0.0003249785,0.00003176281,0.9986312,0.00005729784,0.00006774107],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2326145,"threshold_uncertainty_score":0.9998554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01030042744879746,"score_gpt":0.1905832209160307,"score_spread":0.1802827934672333,"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."}}