{"id":"W4398720316","doi":"10.7910/dvn/pkjufn/yeds7u","title":"FCC2002.342.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":[0.0004287118,0.0009742554,0.0010056,0.0002590629,0.0001977738,0.0002986279,0.002662064,0.0006320016,0.2230971],"category_scores_gemma":[0.001382377,0.001036411,0.0003398994,0.0006716536,0.0002604135,0.0006045867,0.001661486,0.001455894,0.9945909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003039338,"about_ca_system_score_gemma":0.0003161347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004484508,"about_ca_topic_score_gemma":0.0003860706,"domain_scores_codex":[0.9950554,0.0002827707,0.0007231736,0.001484128,0.001523472,0.0009310716],"domain_scores_gemma":[0.994446,0.0001539827,0.0005345651,0.004034164,0.0001040764,0.0007272484],"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":[0.0002025773,0.0001475035,0.000002411686,0.0002540941,0.0002619638,0.001326845,0.0000233954,0.00000374129,0.000121819,0.00001632259,0.9975374,0.0001019238],"study_design_scores_gemma":[0.001044563,0.00008313588,0.00001291914,0.0001276879,0.0006127743,0.00006022662,0.00005861857,0.00002363536,0.00004346584,0.00001134075,0.9968387,0.001082969],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000002099303,7.333726e-7,0.000007963496,0.000006982445,0.001159968,0.0006154404,0.996938,0.0004530713,0.0008157674],"genre_scores_gemma":[0.000002049162,0.0001856584,0.0003786654,0.001318895,0.001217924,0.00006087881,0.996085,0.0002564364,0.0004944309],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7714937,"threshold_uncertainty_score":0.9992086,"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."}}