{"id":"W4398307017","doi":"10.7910/dvn/pkjufn/6avrd9","title":"FCC2003.075.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":[0.001522351,0.003002497,0.00177039,0.004821471,0.001136412,0.003679489,0.004169419,0.002959592,0.1722983],"category_scores_gemma":[0.00950889,0.0009436246,0.001558444,0.007739445,0.0006923665,0.002230498,0.002467289,0.002004935,0.2297094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002057997,"about_ca_system_score_gemma":0.00265527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04644191,"about_ca_topic_score_gemma":0.07013798,"domain_scores_codex":[0.9986804,0.0002745319,0.0001167965,0.0004011201,0.0002608227,0.0002663378],"domain_scores_gemma":[0.9965707,0.0008131294,0.0002562525,0.001015525,0.0009376536,0.0004067394],"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":[0.00002562043,0.00000650056,0.0001459357,0.0001941902,0.00001215911,0.000004914781,0.000006963881,0.0001156848,0.00002553606,0.0002341296,0.9985891,0.0006392749],"study_design_scores_gemma":[0.0002888722,0.00002042328,0.001768868,0.0002835512,0.00002899811,0.00003229581,0.00006818129,0.000607819,0.0002747541,0.001782512,0.9948089,0.00003473089],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005032811,0.00004466855,0.00003444066,0.0000780342,0.00003138072,0.000004889273,0.9986193,0.0004684638,0.0006685079],"genre_scores_gemma":[0.0002783639,0.00003933665,0.0001314545,0.00006518729,0.00001346525,0.00003228763,0.9985473,0.0001554026,0.0007371986],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8277017,"threshold_uncertainty_score":0.5763954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02433029067820695,"score_gpt":0.2545164762629947,"score_spread":0.2301861855847877,"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."}}