{"id":"W4398548001","doi":"10.7910/dvn/pkjufn/j3d0ly","title":"FCC2003.177.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":[0.001420769,0.003136111,0.001794518,0.004917837,0.001234473,0.00388759,0.004209803,0.003169876,0.1692017],"category_scores_gemma":[0.008140406,0.0009734997,0.00161428,0.008189281,0.0007142639,0.002365825,0.002521858,0.002074565,0.2434116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002258466,"about_ca_system_score_gemma":0.002750059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04648605,"about_ca_topic_score_gemma":0.07017302,"domain_scores_codex":[0.9987011,0.0002703785,0.0001242298,0.0003870209,0.0002563914,0.0002608279],"domain_scores_gemma":[0.9969952,0.0006884581,0.0002296547,0.0009128699,0.0008253024,0.0003485022],"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":[0.00002918075,0.000007971164,0.0001377051,0.0002387022,0.00001278546,0.000005963223,0.000007935068,0.0001151496,0.00003443216,0.0002721636,0.9984603,0.000677704],"study_design_scores_gemma":[0.0002622209,0.00002006157,0.001532278,0.0002803238,0.0000254338,0.00003400761,0.00006253301,0.0005001064,0.000284261,0.001481982,0.9954852,0.00003168441],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004822404,0.00004763418,0.0000326107,0.00006754445,0.00002875939,0.000004991821,0.998515,0.0004716834,0.0007836248],"genre_scores_gemma":[0.0002290077,0.00003764988,0.0001169677,0.00005609436,0.000009661399,0.000028431,0.9987446,0.0001339312,0.0006436321],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8307983,"threshold_uncertainty_score":0.5660359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02471988038385231,"score_gpt":0.2551203799153252,"score_spread":0.2304004995314728,"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."}}