{"id":"W4398297613","doi":"10.7910/dvn/pkjufn/zg0ky2","title":"FCC2003.148.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":[0.001450879,0.003161454,0.001919356,0.004959717,0.001186238,0.004154495,0.004162056,0.003178634,0.1714637],"category_scores_gemma":[0.00836988,0.0009469485,0.001597054,0.009195592,0.0006970991,0.002415236,0.002501189,0.00203363,0.2524518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002138287,"about_ca_system_score_gemma":0.002726349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04459447,"about_ca_topic_score_gemma":0.0712713,"domain_scores_codex":[0.9986224,0.0002890056,0.0001357005,0.0004091515,0.0002688623,0.0002748804],"domain_scores_gemma":[0.9969336,0.0006925559,0.0002317577,0.0009131174,0.0008827343,0.0003461637],"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":[0.00002836122,0.000007904166,0.0001400297,0.0002396393,0.00001280313,0.000006530405,0.000007964934,0.00010676,0.00003424737,0.0002507151,0.9985073,0.0006576583],"study_design_scores_gemma":[0.0002605733,0.00002023135,0.001493509,0.0002920081,0.00002542919,0.00003623749,0.00006378788,0.0004485115,0.000265902,0.00131561,0.9957481,0.00003027366],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000490124,0.00005076862,0.00003301706,0.00006328858,0.00002910879,0.000004834017,0.9984801,0.0004793892,0.000810501],"genre_scores_gemma":[0.0002073628,0.00003610177,0.000109375,0.00005246188,0.000009161105,0.00002675773,0.9988052,0.0001372671,0.000616394],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8285363,"threshold_uncertainty_score":0.5736033,"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."}}