{"id":"W4398445631","doi":"10.7910/dvn/pkjufn/7fjvid","title":"FCC2002.149.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":[0.001347109,0.0030647,0.001799208,0.004783421,0.00114924,0.004045892,0.003987874,0.003135673,0.1814717],"category_scores_gemma":[0.00782969,0.000917706,0.001521854,0.008564406,0.0006581447,0.002316278,0.002423453,0.001956399,0.2588442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002094334,"about_ca_system_score_gemma":0.002632439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04443568,"about_ca_topic_score_gemma":0.06977485,"domain_scores_codex":[0.9987398,0.0002551295,0.0001222229,0.0003723272,0.0002467206,0.0002637934],"domain_scores_gemma":[0.9970952,0.0006509293,0.0002252618,0.0008470406,0.0008417051,0.0003398504],"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":[0.00002763596,0.00000768161,0.0001403542,0.0002207528,0.00001177963,0.000006097122,0.000007461798,0.0001012948,0.00003193539,0.0002470068,0.9985644,0.000633642],"study_design_scores_gemma":[0.0002518396,0.00001997539,0.00151982,0.0002853221,0.0000237459,0.00003300958,0.00006230526,0.0004268261,0.0002577172,0.001298391,0.9957912,0.00002977035],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004521256,0.00004392888,0.00002832558,0.00006261764,0.00002786612,0.000004435357,0.9985662,0.0004172087,0.0008042062],"genre_scores_gemma":[0.0002163847,0.00003485295,0.0001022095,0.0000549984,0.000009554847,0.00002573378,0.9987593,0.000128746,0.0006682829],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8185284,"threshold_uncertainty_score":0.6070832,"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."}}