{"id":"W4398428054","doi":"10.7910/dvn/pkjufn/rpwslk","title":"FCC2002.137.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":[0.0004328714,0.0009719031,0.001005532,0.0002513189,0.0001964223,0.0002971292,0.002655541,0.0006295585,0.2311123],"category_scores_gemma":[0.001403778,0.001034768,0.000331878,0.000673659,0.0002583309,0.0005740387,0.001666236,0.001450253,0.9946501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003075786,"about_ca_system_score_gemma":0.0003236573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004324926,"about_ca_topic_score_gemma":0.0003956252,"domain_scores_codex":[0.9950701,0.0002847924,0.0007212457,0.001478842,0.001516466,0.0009285438],"domain_scores_gemma":[0.9944533,0.0001563864,0.0005335366,0.004024549,0.0001051694,0.0007270199],"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":[0.0001963684,0.0001474203,0.0000022738,0.0002545468,0.0002574796,0.001335077,0.0000247426,0.000003530826,0.0001188059,0.00001548885,0.9975427,0.0001015869],"study_design_scores_gemma":[0.00103677,0.00008298194,0.00001156338,0.000127711,0.0006042523,0.00005661329,0.00005984426,0.00002233567,0.00004736768,0.00001145818,0.9968586,0.001080499],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001922501,7.154214e-7,0.000007769099,0.000006745249,0.001146323,0.0006129731,0.9969085,0.0004481045,0.0008669766],"genre_scores_gemma":[0.000002126306,0.0001760353,0.0003819986,0.001381798,0.001233445,0.00006079789,0.9960593,0.0002535483,0.00045095],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7635378,"threshold_uncertainty_score":0.9992102,"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."}}