{"id":"W4398399659","doi":"10.7910/dvn/pkjufn/93gzg7","title":"FCC2002.306.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":[0.001466218,0.003045752,0.001771708,0.004826409,0.00114126,0.003711401,0.004158919,0.003060268,0.1712802],"category_scores_gemma":[0.008735448,0.0009314535,0.001494538,0.00783441,0.0007045748,0.002270432,0.002446103,0.002023229,0.2379478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00211521,"about_ca_system_score_gemma":0.002654335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04239909,"about_ca_topic_score_gemma":0.06286309,"domain_scores_codex":[0.9986765,0.0002823629,0.0001174373,0.0004023954,0.0002618545,0.0002594906],"domain_scores_gemma":[0.9968404,0.000733047,0.0002476925,0.0009576695,0.0008358644,0.0003854332],"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":[0.00002944157,0.000007546274,0.0001396868,0.0002183873,0.00001239946,0.000005618176,0.000007090231,0.0001212591,0.00003010876,0.0002515241,0.9985123,0.0006645102],"study_design_scores_gemma":[0.0002780979,0.0000221728,0.001652054,0.0002904073,0.00002716839,0.00003464777,0.00006511188,0.0005745607,0.0002812089,0.001634441,0.9951072,0.00003295803],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005134622,0.00004712728,0.00003300596,0.00007198948,0.00002809725,0.000005015513,0.9985873,0.0004420729,0.0007342486],"genre_scores_gemma":[0.0002561239,0.00003710811,0.0001159224,0.00005684798,0.00001048042,0.00002983385,0.9986824,0.0001279586,0.0006832302],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8287199,"threshold_uncertainty_score":0.5729892,"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."}}