{"id":"W4398373975","doi":"10.7910/dvn/pkjufn/vmsfap","title":"FCC2001.015.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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004312553,0.0009871991,0.001020096,0.0004333932,0.0001929788,0.0002993702,0.002681945,0.0006658247,0.2356608],"category_scores_gemma":[0.001217285,0.001052644,0.0003320076,0.0007485463,0.0002683807,0.0006177546,0.001629944,0.001504637,0.9956768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003058234,"about_ca_system_score_gemma":0.0004446162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000725991,"about_ca_topic_score_gemma":0.0004264216,"domain_scores_codex":[0.9952785,0.0002897653,0.0007313622,0.001504954,0.001231199,0.0009641529],"domain_scores_gemma":[0.9943579,0.0001445323,0.0005424471,0.00406384,0.0001266906,0.0007646137],"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":[0.0002028767,0.0001524536,0.000001864179,0.0002490011,0.0002721365,0.001418837,0.0000249748,0.000003686168,0.00008553574,0.00001806486,0.9974717,0.00009889429],"study_design_scores_gemma":[0.001122849,0.00008206788,0.000008208543,0.0001335485,0.0006297437,0.00006237424,0.00006304494,0.00002458897,0.00002840695,0.0000147108,0.9967329,0.001097565],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001466296,8.255295e-7,0.000009731209,0.000008094051,0.001251782,0.0006342866,0.9967217,0.0005059394,0.0008662123],"genre_scores_gemma":[0.000001400336,0.0002340302,0.0003836942,0.00143083,0.001283863,0.00006032455,0.9958826,0.0002632688,0.0004600084],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.760016,"threshold_uncertainty_score":0.9991924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02529491212482551,"score_gpt":0.2565681523517782,"score_spread":0.2312732402269526,"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."}}