{"id":"W4398721217","doi":"10.7910/dvn/pkjufn/brsxvp","title":"FCC2002.024.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":[0.0004290161,0.0009735573,0.001003308,0.0002619178,0.0001898161,0.0003042319,0.002634201,0.0006299533,0.2342629],"category_scores_gemma":[0.001395804,0.001033474,0.0003369553,0.0006843049,0.0002509502,0.0005930593,0.001675179,0.001464279,0.9948742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003098207,"about_ca_system_score_gemma":0.0003261529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004548586,"about_ca_topic_score_gemma":0.0004097529,"domain_scores_codex":[0.9950771,0.0002774953,0.0007201094,0.001485079,0.001513876,0.0009262997],"domain_scores_gemma":[0.9944866,0.0001603533,0.0005204763,0.004007007,0.0001020286,0.0007234882],"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":[0.0002190018,0.0001446463,0.000002368973,0.0002675251,0.0002630077,0.001320192,0.00002548625,0.000003708935,0.0001028852,0.00001614048,0.9975457,0.00008937404],"study_design_scores_gemma":[0.0009957381,0.00008112759,0.00001338793,0.0001332784,0.0006197534,0.00005945611,0.00005866078,0.00002489411,0.00004209378,0.00001234929,0.9968795,0.001079809],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000002037831,7.463632e-7,0.000008163015,0.000007064138,0.001211954,0.000613695,0.9968323,0.0004683769,0.0008556379],"genre_scores_gemma":[0.00000211576,0.0001834949,0.0003769648,0.001332224,0.001241753,0.00006111457,0.9960458,0.0002623901,0.0004941543],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7606113,"threshold_uncertainty_score":0.9992115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02485445938162503,"score_gpt":0.2539065045840399,"score_spread":0.2290520452024149,"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."}}