{"id":"W4398537997","doi":"10.7910/dvn/pkjufn/49a3xe","title":"FCC2003.151.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":[0.0004288373,0.0009913869,0.001025104,0.0004163872,0.0002003304,0.0002995316,0.002641151,0.0006496951,0.2265228],"category_scores_gemma":[0.001383314,0.001057339,0.0003131274,0.0008134537,0.0002558415,0.0006104143,0.001599815,0.001474612,0.9956903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003107443,"about_ca_system_score_gemma":0.0004814827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007241507,"about_ca_topic_score_gemma":0.0003926809,"domain_scores_codex":[0.9952868,0.0002991156,0.0007329318,0.001517182,0.001212699,0.0009513305],"domain_scores_gemma":[0.9943498,0.0001265737,0.0005450532,0.004093298,0.000141436,0.0007438372],"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":[0.0001891128,0.0001485729,0.000001791916,0.0002601128,0.0002650147,0.001314956,0.00002520981,0.000003606571,0.00009592208,0.00002514608,0.9975746,0.00009596836],"study_design_scores_gemma":[0.001071593,0.00008456738,0.00001308363,0.0001262491,0.0006129532,0.0000598966,0.00006119566,0.00002281729,0.00003600913,0.0000132581,0.996796,0.00110237],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001832354,7.905262e-7,0.00000947697,0.00000677654,0.001322656,0.0006496396,0.9968098,0.0004741058,0.0007248665],"genre_scores_gemma":[0.00000144939,0.0001970672,0.0004356682,0.00148331,0.001197791,0.00006155746,0.9959418,0.0002577519,0.0004236484],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7691675,"threshold_uncertainty_score":0.9991877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0247673236901295,"score_gpt":0.2551844532484137,"score_spread":0.2304171295582842,"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."}}