{"id":"W4398610392","doi":"10.7910/dvn/pkjufn/7zqncq","title":"FCC2001.019.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":[0.00149325,0.002949099,0.001742907,0.004938606,0.00118938,0.003681923,0.004207043,0.003014038,0.1813347],"category_scores_gemma":[0.01000933,0.0009675698,0.001514913,0.007696871,0.0006748167,0.00223141,0.002478212,0.002036187,0.2223348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002158167,"about_ca_system_score_gemma":0.002750732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04730436,"about_ca_topic_score_gemma":0.07104811,"domain_scores_codex":[0.9986979,0.0002709021,0.000116015,0.0004055933,0.0002546298,0.0002549974],"domain_scores_gemma":[0.9963992,0.0009271689,0.0002719587,0.001033356,0.0009481171,0.0004201596],"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":[0.00002689737,0.000006490592,0.0001534022,0.0002167745,0.00001247503,0.000005089134,0.000007434222,0.0001179724,0.00002429231,0.0002638086,0.998528,0.0006373831],"study_design_scores_gemma":[0.000289964,0.00001911448,0.001696614,0.0002993437,0.00002836837,0.00003147645,0.00006491695,0.0005747916,0.0002450802,0.001819467,0.9948967,0.00003430894],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004628242,0.00004304992,0.00003302364,0.00007722692,0.00002837735,0.000004698144,0.9986781,0.0004361308,0.0006531617],"genre_scores_gemma":[0.0002779321,0.00004039407,0.0001364814,0.00006698566,0.00001301636,0.0000338976,0.9985501,0.0001585827,0.000722473],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8186653,"threshold_uncertainty_score":0.6066251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02454580413010395,"score_gpt":0.2553763167776731,"score_spread":0.2308305126475692,"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."}}