{"id":"W4398340331","doi":"10.7910/dvn/pkjufn/2q4log","title":"FCC2002.055.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":[0.0004218895,0.0009721867,0.0009983347,0.0002637267,0.0001976257,0.000297573,0.002650822,0.0006472948,0.2383827],"category_scores_gemma":[0.00139162,0.001036011,0.0003421165,0.0006788499,0.0002565839,0.0006095308,0.001620396,0.001483036,0.9946095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000304144,"about_ca_system_score_gemma":0.0003290055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004373081,"about_ca_topic_score_gemma":0.0003687253,"domain_scores_codex":[0.9950697,0.0002820189,0.0007205034,0.001476235,0.001523259,0.0009283231],"domain_scores_gemma":[0.9944588,0.00015503,0.00052014,0.004026177,0.0001020657,0.0007378071],"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":[0.0001996808,0.0001487207,0.000002136527,0.0002470337,0.0002706385,0.00135904,0.00002454752,0.000003832564,0.0001320131,0.00001538745,0.9975005,0.00009644834],"study_design_scores_gemma":[0.00106216,0.00008217986,0.00001369302,0.0001322899,0.0006272182,0.00005741046,0.00006017852,0.00002344702,0.00004160289,0.0000115297,0.9968072,0.001081083],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000002145164,6.899919e-7,0.000006580281,0.000009156288,0.001178006,0.000610257,0.9968138,0.0004478329,0.0009315757],"genre_scores_gemma":[0.000002066786,0.0001820516,0.0003644879,0.001747481,0.001214306,0.00006077611,0.9957033,0.0002536295,0.0004719376],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7562268,"threshold_uncertainty_score":0.999209,"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."}}