{"id":"W4398409801","doi":"10.7910/dvn/pkjufn/g7wdw9","title":"FCC2003.156.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":[0.001416976,0.003148122,0.001830565,0.00480558,0.001198662,0.003862863,0.00417168,0.003147792,0.1721774],"category_scores_gemma":[0.00802237,0.000962887,0.001577572,0.008121316,0.0007024542,0.002339645,0.00244679,0.002066721,0.2504762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00216512,"about_ca_system_score_gemma":0.002640946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04443258,"about_ca_topic_score_gemma":0.06718645,"domain_scores_codex":[0.9986911,0.0002725395,0.000123458,0.0003957442,0.0002566932,0.0002604477],"domain_scores_gemma":[0.9970071,0.0006707662,0.0002275875,0.0009159517,0.0008285756,0.0003500786],"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":[0.00002880508,0.000008007468,0.0001330123,0.0002180346,0.00001231415,0.000005855975,0.000007477909,0.0001116661,0.00003406114,0.0002496911,0.9985554,0.0006356449],"study_design_scores_gemma":[0.0002790813,0.00002181964,0.001616195,0.0002757536,0.00002630347,0.00003561742,0.00006582429,0.0005227248,0.0002952207,0.001471805,0.9953571,0.00003252038],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004969405,0.0000450308,0.00003224474,0.00006558151,0.00002883313,0.000004841969,0.9985684,0.0004542289,0.0007509985],"genre_scores_gemma":[0.0002291225,0.00003528566,0.0001117504,0.0000527046,0.000009762517,0.00002724379,0.9987518,0.0001294521,0.0006528831],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8278226,"threshold_uncertainty_score":0.5759907,"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."}}