{"id":"W4398481972","doi":"10.7910/dvn/pkjufn/yl12xj","title":"FCC2001.306.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":[0.001139357,0.003497524,0.001770349,0.004254959,0.001171484,0.003386285,0.003825276,0.00308076,0.1042291],"category_scores_gemma":[0.005618203,0.0008836186,0.001560833,0.006773632,0.0006329402,0.001905434,0.002273933,0.001979177,0.2004508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001739981,"about_ca_system_score_gemma":0.002286681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03456373,"about_ca_topic_score_gemma":0.05179613,"domain_scores_codex":[0.9987814,0.0002131873,0.0001128207,0.0003871373,0.0002500254,0.0002553799],"domain_scores_gemma":[0.9977989,0.0004259027,0.0001747396,0.0007466972,0.0005661187,0.0002876524],"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":[0.00003976249,0.00001324343,0.0002084679,0.000224758,0.00001495049,0.00000886519,0.000007575427,0.0001912991,0.00004952474,0.0002403631,0.9981754,0.0008257138],"study_design_scores_gemma":[0.0003377029,0.00003362971,0.00263402,0.0002938588,0.00003224406,0.00005696473,0.00008039591,0.00100284,0.0004025581,0.001555794,0.9935301,0.00003992686],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007828559,0.00004519903,0.00003776391,0.00004717815,0.00003216722,0.000005371054,0.9985551,0.0004997348,0.000699201],"genre_scores_gemma":[0.0002369157,0.00002845363,0.00009973701,0.00003265406,0.000007744002,0.00002069343,0.9990487,0.00007059327,0.000454507],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8957709,"threshold_uncertainty_score":0.3486811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01028644552546442,"score_gpt":0.1922603851564491,"score_spread":0.1819739396309847,"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."}}