{"id":"W4398267603","doi":"10.7910/dvn/pkjufn/lwlx3y","title":"FCC2003.264.ran","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Telecommunications and Broadcasting Technologies","field":"Engineering","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":[0.00006713702,0.0002881997,0.0002969088,0.0001435489,0.0000826768,0.00008455956,0.001451741,0.0003118216,0.003669823],"category_scores_gemma":[0.000231967,0.0003024175,0.00007399506,0.0002714265,0.00007566218,0.0001275663,0.0005708607,0.0007352841,0.1556661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006295612,"about_ca_system_score_gemma":0.00002808704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005270645,"about_ca_topic_score_gemma":0.00004971999,"domain_scores_codex":[0.9990507,0.00002011459,0.0002619512,0.0002488092,0.0001466901,0.0002717483],"domain_scores_gemma":[0.9978097,0.00005727844,0.00005724574,0.001974404,0.00002484358,0.00007653464],"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":[0.000002271605,0.00001411615,5.954258e-7,0.000123151,0.00005542037,0.00002862014,0.000006886122,0.00009193833,0.0000289914,0.00001595755,0.997591,0.002041081],"study_design_scores_gemma":[0.0001270011,0.00001843777,0.000006037118,0.00005674278,0.00005636723,0.00001133193,0.00004057387,0.0005292849,0.00005743838,0.00002031876,0.9987508,0.0003256605],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000008452943,0.000007338393,0.0001233187,0.00001227269,0.0003660595,0.0001359725,0.9975852,0.00141264,0.0003487346],"genre_scores_gemma":[0.00005062246,0.001902975,0.003500313,0.00008779204,0.0001099079,0.00002901244,0.994251,0.00003865391,0.00002969313],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1519963,"threshold_uncertainty_score":0.9999428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02072840809989138,"score_gpt":0.2256530357675531,"score_spread":0.2049246276676618,"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."}}