{"id":"W4398288132","doi":"10.7910/dvn/pkjufn/tvwkwz","title":"FCC2002.349.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":[0.0004329394,0.0009749767,0.001006776,0.0002592486,0.0001969306,0.0002989729,0.002665159,0.0006312107,0.1903081],"category_scores_gemma":[0.001400203,0.001037536,0.0003366502,0.000675276,0.0002610011,0.000603573,0.001668145,0.001455654,0.9945779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003095341,"about_ca_system_score_gemma":0.0003237399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004404339,"about_ca_topic_score_gemma":0.0005356596,"domain_scores_codex":[0.9950531,0.0002843839,0.0007233041,0.001483354,0.001523752,0.0009321537],"domain_scores_gemma":[0.9944351,0.0001570065,0.0005350696,0.00404014,0.0001037792,0.0007288731],"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":[0.0001992695,0.0001480155,0.000002833799,0.0002545085,0.0002589727,0.001318519,0.00002131383,0.000003730063,0.0001069723,0.00002394321,0.9975813,0.00008062845],"study_design_scores_gemma":[0.001042751,0.00008209805,0.00001487387,0.000128631,0.0006057314,0.00005859649,0.00005535028,0.00002436861,0.0000432087,0.00001703206,0.9968439,0.00108346],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001933367,7.125902e-7,0.000008362188,0.000007079292,0.001171069,0.000616595,0.9968863,0.0004495513,0.0008584488],"genre_scores_gemma":[0.000002033846,0.000291702,0.0003830973,0.001347847,0.001238019,0.00006089886,0.9961185,0.0002544779,0.0003033949],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8042699,"threshold_uncertainty_score":0.9992075,"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."}}