{"id":"W4398420265","doi":"10.7910/dvn/pkjufn/td6oxx","title":"FCC2001.113.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":[0.001500588,0.003204173,0.00190349,0.005143306,0.001243153,0.004134814,0.004360494,0.003303865,0.172123],"category_scores_gemma":[0.009159875,0.0009934949,0.00159576,0.009073043,0.0007012278,0.002455139,0.002603665,0.002108474,0.2375483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002317725,"about_ca_system_score_gemma":0.00280414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04749601,"about_ca_topic_score_gemma":0.07305918,"domain_scores_codex":[0.9985391,0.0003197263,0.0001399581,0.0004345956,0.0002863008,0.0002803063],"domain_scores_gemma":[0.9966461,0.0008152323,0.0002613037,0.0009946155,0.0009086138,0.0003741141],"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":[0.00002856399,0.000007667634,0.000143585,0.0002632785,0.00001370378,0.000006371295,0.000008550659,0.0001192871,0.00003185167,0.0002946064,0.9984068,0.0006757422],"study_design_scores_gemma":[0.0002465113,0.0000195239,0.001493263,0.0003193908,0.00002633363,0.00003353799,0.00006154631,0.0004711717,0.0002455973,0.001505082,0.9955467,0.00003133932],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004657451,0.00005188706,0.00003364995,0.00006835812,0.00002750001,0.000004863386,0.9984969,0.0004674108,0.0008028707],"genre_scores_gemma":[0.0002183279,0.00003916573,0.0001156733,0.00005445511,0.000009069094,0.0000281073,0.998812,0.0001349118,0.0005885062],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.827877,"threshold_uncertainty_score":0.5758088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02479789060773568,"score_gpt":0.2555838137260304,"score_spread":0.2307859231182947,"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."}}