{"id":"W4398462699","doi":"10.7910/dvn/pkjufn/z3pf04","title":"FCC2002.113.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":[0.001484901,0.003163938,0.001852134,0.005015179,0.001230371,0.004058979,0.004334172,0.003231225,0.1644062],"category_scores_gemma":[0.00883888,0.0009522594,0.001572116,0.008827987,0.0006998719,0.002412918,0.002524521,0.002072467,0.2300933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002254705,"about_ca_system_score_gemma":0.002739271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04711765,"about_ca_topic_score_gemma":0.0719636,"domain_scores_codex":[0.9985677,0.0003116968,0.0001327692,0.0004282121,0.0002830188,0.000276532],"domain_scores_gemma":[0.9967733,0.0007503129,0.0002502167,0.0009745464,0.0008834252,0.0003680968],"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":[0.00002886822,0.000007780268,0.0001463387,0.0002478611,0.00001360776,0.000006457774,0.000008192763,0.0001211506,0.00003244686,0.0002878296,0.9984239,0.0006755157],"study_design_scores_gemma":[0.000242777,0.00001982504,0.001554237,0.0003000639,0.00002619685,0.00003402036,0.0000625482,0.0004924794,0.0002551771,0.001480173,0.9955012,0.00003122092],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005072868,0.00005180554,0.00003436841,0.00006887858,0.00002831806,0.000004980534,0.9984762,0.0004659005,0.0008188205],"genre_scores_gemma":[0.0002314692,0.00003739656,0.0001149817,0.00005334821,0.000009240755,0.00002781295,0.9988027,0.0001300017,0.0005929968],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8355938,"threshold_uncertainty_score":0.5499934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02491241880701418,"score_gpt":0.2534420788071554,"score_spread":0.2285296600001412,"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."}}