{"id":"W4398499716","doi":"10.7910/dvn/pkjufn/dasrep","title":"FCC2002.188.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; 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":[0.001357741,0.00310651,0.001787997,0.005107712,0.001187087,0.003915597,0.004062718,0.003097666,0.1822211],"category_scores_gemma":[0.008240438,0.0009768072,0.001520351,0.008577689,0.0006917169,0.002316603,0.002439204,0.002035644,0.2545923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002132963,"about_ca_system_score_gemma":0.002702656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04562556,"about_ca_topic_score_gemma":0.06669655,"domain_scores_codex":[0.99874,0.0002543362,0.0001148639,0.0003834916,0.000252968,0.0002543354],"domain_scores_gemma":[0.9969833,0.0007048376,0.0002303295,0.0008968255,0.0008232422,0.0003613996],"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":[0.0000263017,0.000007023481,0.000132528,0.0002178952,0.00001179818,0.000005775667,0.000007681301,0.0001078533,0.00003062598,0.0002497669,0.99855,0.0006528181],"study_design_scores_gemma":[0.0002354688,0.00001897634,0.001482342,0.0002729341,0.00002384371,0.00003222103,0.00006134481,0.0004604127,0.0002555673,0.001405121,0.995721,0.00003067658],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004773491,0.00004873529,0.00003188397,0.00006747532,0.00002922187,0.000004676805,0.9985502,0.0004645693,0.0007555097],"genre_scores_gemma":[0.0002333485,0.00004005454,0.0001140737,0.00005814389,0.00001056035,0.00002962904,0.9986663,0.0001478801,0.0007000238],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8177789,"threshold_uncertainty_score":0.6095904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02495255387127914,"score_gpt":0.2534604776854769,"score_spread":0.2285079238141978,"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."}}