{"id":"W4398368990","doi":"10.7910/dvn/pkjufn/m7c8r2","title":"FCC2001.125.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":[0.0000574646,0.0003756043,0.0004951431,0.000162446,0.00004283793,0.00003580513,0.0007098544,0.0005534971,0.01176949],"category_scores_gemma":[0.00002149747,0.000396573,0.0001171618,0.0001852964,0.0000521865,0.0001155511,0.00008863581,0.0006739338,0.288216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005040548,"about_ca_system_score_gemma":0.00002914843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001652126,"about_ca_topic_score_gemma":0.0002554361,"domain_scores_codex":[0.9986966,0.00001254295,0.0003580584,0.0003713479,0.0001997465,0.0003617512],"domain_scores_gemma":[0.9986104,0.00001916887,0.00005535372,0.001149678,0.0000160105,0.000149431],"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":[0.000005022408,0.00001143636,0.000002411161,0.0004485092,0.0001159857,0.0004069342,0.000008802068,0.00005482997,0.00003758232,0.00003615431,0.9986371,0.0002352222],"study_design_scores_gemma":[0.0002735849,0.00002261553,0.00001258669,0.00007137028,0.00009932494,0.00002802278,0.00001714398,0.0000709283,0.00003584916,0.000008952933,0.9989638,0.0003958441],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000008705818,0.000005155196,0.0001729484,0.000004493465,0.001388502,0.0002123925,0.9969034,0.0008483314,0.0004561108],"genre_scores_gemma":[0.0001381943,0.000561153,0.0001547217,0.00009493075,0.0003337451,0.00003171663,0.9985605,0.0000580256,0.00006703325],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2764465,"threshold_uncertainty_score":0.9998486,"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."}}