{"id":"W4398654129","doi":"10.7910/dvn/pkjufn/fh2ahk","title":"FCC2001.190.ran","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Transport Systems and Technology","field":"Engineering","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":[0.001075599,0.003621591,0.001798194,0.004396156,0.001198843,0.003584011,0.003792414,0.003099381,0.1068026],"category_scores_gemma":[0.005432717,0.0009062592,0.001608608,0.007053722,0.0006171021,0.001971474,0.0022875,0.002020296,0.2066945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001733843,"about_ca_system_score_gemma":0.002269401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03460416,"about_ca_topic_score_gemma":0.05293013,"domain_scores_codex":[0.9988342,0.0001929074,0.000110777,0.0003785456,0.000235211,0.0002484203],"domain_scores_gemma":[0.9978981,0.0004164563,0.0001622823,0.0007098566,0.0005373051,0.0002760274],"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":[0.00003757393,0.00001281379,0.0002065315,0.0002342738,0.00001500162,0.000009162215,0.000008515286,0.0001756904,0.00005198848,0.0002478874,0.9981614,0.0008390303],"study_design_scores_gemma":[0.0003079863,0.00003068674,0.00239233,0.000289389,0.00003033759,0.00005492579,0.00007972487,0.0008637748,0.0003815976,0.00144673,0.9940847,0.00003784038],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007744993,0.00004932431,0.00003778808,0.00004599127,0.00003464691,0.000005212386,0.9984675,0.000559121,0.0007229363],"genre_scores_gemma":[0.0002250422,0.00003111925,0.0001041823,0.0000341425,0.000007881193,0.00002043234,0.999057,0.00008251629,0.0004377136],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8931974,"threshold_uncertainty_score":0.3572902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01027806019737193,"score_gpt":0.1922912661093988,"score_spread":0.1820132059120268,"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."}}