{"id":"W4398443481","doi":"10.7910/dvn/pkjufn/clobrr","title":"FCC2001.085.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":[0.001519523,0.002988394,0.001772819,0.004961777,0.001156763,0.003676631,0.004194256,0.002970978,0.1779286],"category_scores_gemma":[0.009690989,0.0009580015,0.001536839,0.007709945,0.0006856799,0.002264277,0.002492136,0.002004795,0.231065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002117736,"about_ca_system_score_gemma":0.002660585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04632889,"about_ca_topic_score_gemma":0.07029092,"domain_scores_codex":[0.9986744,0.0002780693,0.0001159601,0.0004091125,0.000258656,0.0002638277],"domain_scores_gemma":[0.9964852,0.0008593286,0.0002652908,0.001026578,0.0009468941,0.0004167437],"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":[0.00002603667,0.000006484132,0.0001458119,0.0002042396,0.00001211994,0.000004872209,0.000007148908,0.0001140313,0.00002487066,0.0002427967,0.9985696,0.0006420432],"study_design_scores_gemma":[0.0002850476,0.00002028629,0.001749135,0.0002968062,0.00002868877,0.00003138969,0.00006733859,0.0005810366,0.0002577423,0.001779795,0.9948679,0.00003481792],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004825261,0.0000444833,0.00003308598,0.00007745289,0.0000301004,0.000004820158,0.9986388,0.0004474267,0.000675589],"genre_scores_gemma":[0.0002741261,0.00003951749,0.0001289295,0.00006456915,0.00001319711,0.00003290634,0.9985544,0.000152684,0.0007396169],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8220714,"threshold_uncertainty_score":0.5952303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02484661320769378,"score_gpt":0.2556789123796845,"score_spread":0.2308322991719908,"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."}}