{"id":"W4398425998","doi":"10.7910/dvn/pkjufn/vuoetg","title":"FCC2003.284.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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001464156,0.003281835,0.001826203,0.00503629,0.001213445,0.003795434,0.004375182,0.003210326,0.1742414],"category_scores_gemma":[0.008681064,0.0009995727,0.001619541,0.008054864,0.0007371293,0.002332878,0.002557206,0.002080029,0.2447884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002123696,"about_ca_system_score_gemma":0.002624341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04276888,"about_ca_topic_score_gemma":0.06332342,"domain_scores_codex":[0.9986494,0.0002843813,0.0001224374,0.0004132967,0.0002645477,0.0002660392],"domain_scores_gemma":[0.9968299,0.0007556333,0.0002403355,0.0009764141,0.0008170391,0.0003806202],"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":[0.00002993293,0.000008241264,0.00014316,0.0002326552,0.00001345639,0.000006044021,0.000008088928,0.0001242558,0.00003379224,0.0002458254,0.9984813,0.000673282],"study_design_scores_gemma":[0.0003018485,0.00002396559,0.001626978,0.0002844501,0.00002932486,0.00003764521,0.00006729693,0.0006132105,0.0003036423,0.00164455,0.9950321,0.00003510747],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005475705,0.00004869245,0.00003615194,0.00007262513,0.00003004525,0.000005351301,0.9984958,0.0005320906,0.0007245236],"genre_scores_gemma":[0.0002483899,0.00003662008,0.000120599,0.00005708066,0.00001060324,0.00002999544,0.998714,0.000146034,0.0006366733],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8257586,"threshold_uncertainty_score":0.5828955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0249872822616399,"score_gpt":0.2555611759172565,"score_spread":0.2305738936556166,"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."}}