{"id":"W4398256512","doi":"10.7910/dvn/pkjufn/01jxsx","title":"FCC2003.149.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":[0.001375105,0.003088949,0.001844901,0.004785154,0.001155075,0.00413995,0.004063309,0.003159543,0.1871732],"category_scores_gemma":[0.007987469,0.0009410613,0.001566701,0.008784783,0.0006707598,0.002341414,0.002496297,0.001977585,0.2682652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00211079,"about_ca_system_score_gemma":0.002664516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04424122,"about_ca_topic_score_gemma":0.06987591,"domain_scores_codex":[0.9987261,0.0002568368,0.0001273493,0.0003736331,0.0002486297,0.0002674738],"domain_scores_gemma":[0.9970476,0.0006652534,0.0002279571,0.0008658909,0.0008509014,0.0003423876],"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":[0.00002782528,0.000007517523,0.0001381816,0.0002255195,0.00001188585,0.000006083459,0.00000757618,0.0001004318,0.00003134169,0.0002441963,0.9985669,0.0006324503],"study_design_scores_gemma":[0.0002575278,0.00001978895,0.001475485,0.0002876971,0.00002374525,0.00003324025,0.00006156864,0.0004248641,0.0002557114,0.00132683,0.9958035,0.00002998845],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000428172,0.00004322984,0.00002852651,0.00006128457,0.00002772476,0.000004421145,0.9985765,0.0004327724,0.0007826409],"genre_scores_gemma":[0.0002096235,0.00003520505,0.0001036111,0.00005592393,0.000009650812,0.00002612831,0.9987602,0.0001356499,0.0006640996],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8128268,"threshold_uncertainty_score":0.6261569,"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."}}