{"id":"W4398661203","doi":"10.7910/dvn/pkjufn/exd8ui","title":"FCC2002.074.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":[0.0004327995,0.0009757227,0.001009179,0.0002595557,0.0001972509,0.00029918,0.002666005,0.0006321676,0.2296479],"category_scores_gemma":[0.001403395,0.001038283,0.0003370835,0.0006747232,0.0002611914,0.0006031313,0.001668636,0.001457322,0.9946324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003097962,"about_ca_system_score_gemma":0.0003243485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004527183,"about_ca_topic_score_gemma":0.0003989423,"domain_scores_codex":[0.9950489,0.0002839165,0.0007243034,0.001485132,0.001525109,0.0009326704],"domain_scores_gemma":[0.9944298,0.0001572543,0.0005355406,0.004044239,0.0001039104,0.0007292925],"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":[0.0002023989,0.0001481841,0.000002324234,0.0002550556,0.000258611,0.001319259,0.0000244836,0.000003732206,0.0001088631,0.00001627075,0.9975582,0.000102663],"study_design_scores_gemma":[0.001041356,0.00008238157,0.00001229221,0.0001288993,0.0006049131,0.00005864939,0.00005748254,0.00002440111,0.00004402305,0.00001194305,0.9968492,0.001084417],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001906013,7.193302e-7,0.000008382438,0.000007172615,0.001171941,0.0006165704,0.9968957,0.0004489228,0.0008487377],"genre_scores_gemma":[0.000002037623,0.0001776751,0.0003892308,0.001358487,0.001239814,0.00006086361,0.9960321,0.0002540142,0.0004858446],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7649845,"threshold_uncertainty_score":0.9992067,"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."}}