{"id":"W4398345810","doi":"10.7910/dvn/pkjufn/jyhqzr","title":"FCC2002.250.ran","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Ran; Computer science; Geography; Geology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001450679,0.003255752,0.001812611,0.004698328,0.001154034,0.00372121,0.004291648,0.003169522,0.1460247],"category_scores_gemma":[0.008103678,0.0009094909,0.001560327,0.007619659,0.0007051135,0.002407341,0.002402619,0.00206914,0.221428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002045085,"about_ca_system_score_gemma":0.002456416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04013183,"about_ca_topic_score_gemma":0.06255952,"domain_scores_codex":[0.9986981,0.0002788732,0.0001131608,0.000401005,0.000252743,0.0002561252],"domain_scores_gemma":[0.9970863,0.0006597182,0.000219802,0.0009124063,0.0007808718,0.0003408726],"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":[0.00003146847,0.000009152156,0.000152015,0.000229964,0.00001386091,0.00000649696,0.000007721514,0.0001381868,0.00003664631,0.0002633261,0.9983663,0.000744927],"study_design_scores_gemma":[0.000283375,0.000024527,0.001706414,0.000283607,0.00002963067,0.00004106446,0.00006601564,0.0006775879,0.0003303068,0.001666287,0.9948559,0.00003539154],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006535288,0.00005878879,0.00004087378,0.00007667965,0.00003319005,0.000005582818,0.9983103,0.0005729697,0.0008363146],"genre_scores_gemma":[0.0002749002,0.00003899189,0.0001296937,0.00005692097,0.00001111021,0.00002835681,0.9986952,0.0001320509,0.0006328631],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8539752,"threshold_uncertainty_score":0.4885014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02500825657205191,"score_gpt":0.253556626914746,"score_spread":0.2285483703426941,"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."}}