{"id":"W4398274753","doi":"10.7910/dvn/pkjufn/tjqfxl","title":"FCC2002.354.ran","year":2020,"lang":"sr","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","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.0013192,0.002863399,0.002785797,0.0006155946,0.0007253332,0.001134141,0.006632192,0.001723347,0.3782789],"category_scores_gemma":[0.004003252,0.003302556,0.001003717,0.002039817,0.001029068,0.001841624,0.005185374,0.003952935,0.9983523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001028013,"about_ca_system_score_gemma":0.001138821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000587345,"about_ca_topic_score_gemma":0.0004442084,"domain_scores_codex":[0.9860032,0.001205434,0.00219825,0.004123612,0.003748026,0.002721509],"domain_scores_gemma":[0.9854358,0.0005381615,0.001725165,0.009551011,0.0003334941,0.002416302],"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":[0.001185515,0.0008034694,0.00002137937,0.001135474,0.001279601,0.005603248,0.0002229404,0.00001410876,0.0006199392,0.0001077698,0.9884145,0.0005921042],"study_design_scores_gemma":[0.003702728,0.0003995509,0.00007113169,0.000703637,0.002827258,0.0002235502,0.0005467857,0.0002351915,0.0002128571,0.00001938214,0.987829,0.003228969],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001934319,0.000005362373,0.00005052761,0.00003448829,0.003507986,0.001866857,0.9920801,0.0006725331,0.001762814],"genre_scores_gemma":[0.00005067712,0.00117859,0.001033682,0.002693416,0.003356832,0.00011914,0.988867,0.0008847155,0.00181599],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6200734,"threshold_uncertainty_score":0.9999028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02462668584729597,"score_gpt":0.2525126576671563,"score_spread":0.2278859718198603,"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."}}