{"id":"W6912948611","doi":"10.5683/sp2/hvykwf","title":"App Imperialism","year":2019,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Capitalism; Situated; Corporate governance; Politics; Dominance (genetics); Revenue; Cultural imperialism; Inequality","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009032544,0.0008904223,0.0006775457,0.005827607,0.001444929,0.00269935,0.001743464,0.00124085,0.02078507],"category_scores_gemma":[0.007454873,0.0004304855,0.0006967753,0.008322627,0.0005559243,0.001469076,0.002109679,0.001278837,0.02718108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002660471,"about_ca_system_score_gemma":0.003864542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1770575,"about_ca_topic_score_gemma":0.3652232,"domain_scores_codex":[0.9980541,0.0002049413,0.000251888,0.0004066225,0.0007817773,0.0003005848],"domain_scores_gemma":[0.9952921,0.0007871942,0.0005867042,0.0008550746,0.002085028,0.0003939469],"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":[0.0001318363,0.0000478061,0.01689752,0.0008949114,0.00003779801,0.0001491901,0.0004216884,0.000263061,0.000257638,0.002881422,0.9666709,0.01134622],"study_design_scores_gemma":[0.00003264742,0.00001395836,0.0284966,0.0002756609,0.00001788832,0.0001713233,0.0007080085,0.0003171724,0.0003080089,0.0005504061,0.969074,0.0000343267],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002640041,0.0001879161,0.00009669299,0.0001220332,0.00004242072,0.00003480317,0.9918105,0.0001200702,0.004945627],"genre_scores_gemma":[0.004115132,0.0001151729,0.0003697291,0.00006072321,0.0000121283,0.0001308774,0.9926837,0.00003887805,0.002473735],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1770575,"threshold_uncertainty_score":0.3520539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02306276543517198,"score_gpt":0.2873179029729102,"score_spread":0.2642551375377382,"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."}}