{"id":"W4398408724","doi":"10.7910/dvn/pkjufn/fsznac","title":"FCC2001.321.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":[0.00005859512,0.0003762,0.0004979505,0.0001597378,0.0000429001,0.00003588818,0.000710802,0.0005418416,0.01065157],"category_scores_gemma":[0.00002187613,0.0003970859,0.0001171649,0.0001851132,0.00005227764,0.0001162309,0.00009041943,0.000662255,0.282066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005241295,"about_ca_system_score_gemma":0.00002907687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001704302,"about_ca_topic_score_gemma":0.0002659458,"domain_scores_codex":[0.9986938,0.00001259002,0.0003588733,0.0003722181,0.0002001217,0.0003624297],"domain_scores_gemma":[0.9986068,0.00001929431,0.00005544288,0.001152785,0.00001603871,0.0001496321],"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":[0.000005011581,0.00001138907,0.000002539993,0.000448402,0.0001130538,0.000402178,0.000008806903,0.00005256066,0.00003910443,0.00003704561,0.9986514,0.000228526],"study_design_scores_gemma":[0.0002676088,0.00002252387,0.00001337731,0.00007080917,0.00009688405,0.00002828649,0.00001613058,0.00007031027,0.00003626149,0.000009088084,0.9989723,0.0003964184],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000009624952,0.000005005912,0.0001716131,0.00000442701,0.00138626,0.0002129442,0.9969462,0.0008490565,0.0004148869],"genre_scores_gemma":[0.0001424225,0.0005280745,0.00015946,0.00009432776,0.0003351224,0.0000317227,0.9985849,0.00005813523,0.00006586491],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2714144,"threshold_uncertainty_score":0.9998481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01030057584159353,"score_gpt":0.1924010374328088,"score_spread":0.1821004615912153,"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."}}