{"id":"W4398661203","doi":"10.7910/dvn/pkjufn/exd8ui","title":"FCC2002.074.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":[0.001531662,0.003035977,0.001773023,0.004871907,0.001159447,0.003692915,0.00424266,0.00300916,0.1702879],"category_scores_gemma":[0.00957942,0.0009468619,0.001537577,0.007622357,0.0007005522,0.002237713,0.002454538,0.002019998,0.2283308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002058072,"about_ca_system_score_gemma":0.002688655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04615693,"about_ca_topic_score_gemma":0.06962415,"domain_scores_codex":[0.9986749,0.0002765042,0.0001127546,0.0004042115,0.0002662744,0.0002654357],"domain_scores_gemma":[0.9965654,0.000814451,0.0002531918,0.001016964,0.0009391046,0.0004109793],"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":[0.00002572634,0.000006757905,0.0001459292,0.0001913283,0.00001219395,0.000004951272,0.000006867882,0.0001171796,0.00002642899,0.0002323834,0.9985896,0.0006405907],"study_design_scores_gemma":[0.0002930253,0.00002105115,0.001754104,0.0002822951,0.00002928681,0.00003231158,0.00006848737,0.0006178824,0.0002816475,0.001751645,0.9948334,0.00003494155],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005268858,0.00004606681,0.00003514978,0.00008121182,0.00003210037,0.000005046359,0.9985816,0.0004795605,0.0006866066],"genre_scores_gemma":[0.000281247,0.00003945076,0.0001345932,0.00006522763,0.0000135833,0.00003282204,0.9985259,0.0001566197,0.0007505556],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8297121,"threshold_uncertainty_score":0.5696697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02500825657205191,"score_gpt":0.253556626914746,"score_spread":0.2285483703426941,"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."}}