{"id":"W4398604889","doi":"10.7910/dvn/pkjufn/v0dgmn","title":"FCC2003.134.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":[0.001394513,0.003096225,0.001838171,0.004899994,0.001153657,0.003961199,0.004113579,0.003104174,0.1742552],"category_scores_gemma":[0.007805756,0.0009428136,0.001554208,0.008705272,0.0006678734,0.002282503,0.002434792,0.001974428,0.2485828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00213755,"about_ca_system_score_gemma":0.002627698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04352279,"about_ca_topic_score_gemma":0.0691504,"domain_scores_codex":[0.998682,0.0002686261,0.0001270906,0.0003977449,0.0002608104,0.0002636478],"domain_scores_gemma":[0.9971027,0.0006585431,0.0002291061,0.000867204,0.0008105949,0.0003318408],"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":[0.00002811804,0.000008239283,0.0001447824,0.0002373654,0.00001309486,0.000006361756,0.000007899798,0.0001117272,0.00003597392,0.0002538179,0.9984945,0.0006582256],"study_design_scores_gemma":[0.000271661,0.00002138537,0.001603261,0.0002867531,0.00002627339,0.0000361358,0.00006327838,0.0004690029,0.0002748111,0.001345659,0.9955707,0.00003111971],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004862436,0.0000459549,0.00003065811,0.00005917011,0.00002582676,0.000004582512,0.9985716,0.0004609485,0.0007525514],"genre_scores_gemma":[0.000208658,0.00003448888,0.0001039428,0.00004907542,0.000008786604,0.00002522404,0.9988404,0.0001293398,0.0006000691],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8257447,"threshold_uncertainty_score":0.5829418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0247673236901295,"score_gpt":0.2551844532484137,"score_spread":0.2304171295582842,"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."}}