{"id":"W4398329336","doi":"10.7910/dvn/pkjufn/xpwvnp","title":"FCC2001.349.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":[0.00005874734,0.0003758899,0.0004970778,0.0001594398,0.00004277768,0.00003587121,0.0007104297,0.0005410459,0.008437663],"category_scores_gemma":[0.00002186439,0.0003967813,0.0001170683,0.0001851123,0.00005220563,0.0001161298,0.00009038451,0.0006615661,0.279925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005081641,"about_ca_system_score_gemma":0.00002902568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001632606,"about_ca_topic_score_gemma":0.0003615061,"domain_scores_codex":[0.9986948,0.00001262046,0.0003587722,0.0003717271,0.0001999574,0.000362142],"domain_scores_gemma":[0.9986081,0.000019284,0.00005543158,0.001151661,0.00001602062,0.000149519],"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":[0.000004941595,0.00001138009,0.000003028816,0.0004476535,0.0001131698,0.0004020264,0.000007554607,0.0000525144,0.00003764629,0.00005202979,0.9986866,0.0001815177],"study_design_scores_gemma":[0.0002701358,0.00002257235,0.0000162343,0.00007065621,0.00009696488,0.00002825367,0.0000154401,0.00007013434,0.0000348593,0.00001237519,0.9989663,0.0003960238],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000009336336,0.000005236494,0.000172875,0.000004315684,0.00138344,0.0002129424,0.9969473,0.0008501111,0.0004143975],"genre_scores_gemma":[0.0001346655,0.0008157628,0.0001572137,0.00009351568,0.0003344465,0.0000317375,0.9983296,0.0000582112,0.00004486787],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2714873,"threshold_uncertainty_score":0.9998484,"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."}}