{"id":"W4398277620","doi":"10.7910/dvn/pkjufn/qlheu3","title":"FCC2003.096.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":[0.0004311336,0.0009926388,0.001029912,0.0004307994,0.0002006667,0.0002931652,0.002635768,0.0006539325,0.2283243],"category_scores_gemma":[0.001440535,0.001055968,0.0003190085,0.0008418671,0.0002708003,0.000607779,0.001594226,0.001473786,0.9955341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003088643,"about_ca_system_score_gemma":0.0004738494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007371618,"about_ca_topic_score_gemma":0.0004046006,"domain_scores_codex":[0.9952856,0.0003045246,0.0007365688,0.001511671,0.001211744,0.000949872],"domain_scores_gemma":[0.9943681,0.0001302929,0.0005492206,0.004064462,0.000140303,0.0007475751],"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":[0.0001873175,0.0001464929,0.000002162117,0.0002582216,0.0002653034,0.001291865,0.00002597763,0.000003826261,0.00009007008,0.00002520571,0.9976445,0.00005902541],"study_design_scores_gemma":[0.00104692,0.00008049182,0.00001197723,0.000131002,0.0006050458,0.0000592896,0.00005990853,0.0000209686,0.00003721004,0.00001335988,0.9968333,0.001100583],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001887919,7.617461e-7,0.000008738511,0.000006736564,0.001321001,0.0006474623,0.9967648,0.0004738818,0.0007747147],"genre_scores_gemma":[0.000001445141,0.0001991994,0.0004392813,0.001433629,0.001186471,0.00005869101,0.9959765,0.0002548561,0.0004499116],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7672098,"threshold_uncertainty_score":0.9991891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02467836830722108,"score_gpt":0.2549198116123407,"score_spread":0.2302414433051196,"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."}}