{"id":"W6913087483","doi":"10.5683/sp3/2egtbi","title":"Canadian Internet Use Survey, 2018","year":2020,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"The Internet; Government (linguistics); Digital divide; Pace; Internet access; Digital government; Online participation; Digital inclusion","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004826003,0.0005511872,0.0005931475,0.0004802875,0.00005564585,0.0003828184,0.001342054,0.0005420739,0.0008322215],"category_scores_gemma":[0.001498103,0.0005801904,0.0001337157,0.0004235717,0.0001031978,0.0001814181,0.0002373926,0.0006761982,0.01999773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001191736,"about_ca_system_score_gemma":0.001498723,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9999198,"about_ca_topic_score_gemma":0.9999706,"domain_scores_codex":[0.9971572,0.0004823189,0.000416328,0.0007310498,0.0004716762,0.0007414551],"domain_scores_gemma":[0.9966053,0.0001730378,0.0002411339,0.001537005,0.0001561459,0.001287393],"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":[0.00003602531,0.00001801382,0.0003170451,0.00002870799,0.0001506605,0.0004777724,0.00002041824,4.244053e-7,2.696145e-7,0.000004003608,0.9989263,0.00002033422],"study_design_scores_gemma":[0.0001723188,0.00004417635,0.01916837,0.00005182429,0.000101386,0.00001421675,0.000002818236,0.000006742094,0.000001645349,0.00000416715,0.9798484,0.0005839329],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000003359133,0.00003508628,4.11828e-7,0.0001415076,0.0003383847,0.0003167703,0.9987422,0.0001048344,0.0003174639],"genre_scores_gemma":[0.000008178328,0.00005397791,0.00001977142,0.001443559,0.0003935814,0.00002892171,0.9973984,0.0001957944,0.0004578079],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01916551,"threshold_uncertainty_score":0.999665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05619257362091768,"score_gpt":0.2732376957726821,"score_spread":0.2170451221517644,"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."}}