{"id":"W4398299163","doi":"10.7910/dvn/pkjufn/3whah9","title":"FCC2002.181.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":[0.0004311669,0.0009751563,0.001010198,0.0002600122,0.000196826,0.0002986201,0.002659519,0.0006328251,0.2286492],"category_scores_gemma":[0.001400868,0.00103774,0.0003374815,0.0006739835,0.0002607228,0.0006029285,0.001667605,0.0014547,0.9946134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003115047,"about_ca_system_score_gemma":0.0003260859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005898596,"about_ca_topic_score_gemma":0.000520051,"domain_scores_codex":[0.9950547,0.0002831857,0.0007233312,0.001483544,0.001523636,0.0009316594],"domain_scores_gemma":[0.9944392,0.000157189,0.0005342808,0.004036805,0.0001037371,0.0007287894],"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":[0.0002000662,0.0001498401,0.000002299769,0.0002548122,0.0002595814,0.001258244,0.00002925554,0.000003832939,0.0001109661,0.00001512534,0.9976152,0.0001008125],"study_design_scores_gemma":[0.001036245,0.00008402474,0.00001189826,0.0001293002,0.0006061574,0.00005869305,0.00006911119,0.00002496346,0.00004457174,0.00001114746,0.9968407,0.001083196],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000002246802,6.997835e-7,0.000006691056,0.000007138793,0.00117761,0.0006175584,0.9969448,0.000448691,0.0007945707],"genre_scores_gemma":[0.000001939455,0.0001768095,0.0003857862,0.001365512,0.001244064,0.00006095997,0.9959314,0.0002538978,0.0005795867],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7659642,"threshold_uncertainty_score":0.9992073,"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."}}