{"id":"W2530216543","doi":"10.4018/ijthi.2017010106","title":"Quality and Acceptance of Crowdsourced Translation of Web Content","year":2016,"lang":"en","type":"article","venue":"International Journal of Technology and Human Interaction","topic":"Open Source Software Innovations","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Crowdsourcing; Quality (philosophy); Computer science; Machine translation; World Wide Web; Test (biology); Content (measure theory); Data science; Knowledge management; Natural language processing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003131065,0.00006135723,0.0001621525,0.0006710568,0.00003307045,0.00002124929,0.0003759808,0.00007275351,0.0000232176],"category_scores_gemma":[0.0001525681,0.00004629641,0.00004431667,0.0001424631,0.0001698958,0.0006893837,0.00007214784,0.0001223164,6.021663e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003328555,"about_ca_system_score_gemma":0.00002254796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008309746,"about_ca_topic_score_gemma":0.00001150651,"domain_scores_codex":[0.9990256,0.00003003556,0.0005945194,0.000102084,0.0001931324,0.00005460269],"domain_scores_gemma":[0.9981485,0.0001318787,0.0008362356,0.0001128752,0.0007536515,0.00001687438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0000901553,0.0000958351,0.04794976,0.00001073079,0.0001496899,0.000003692976,0.0004029708,0.000002914835,0.4947631,0.2265224,0.00004781501,0.2299609],"study_design_scores_gemma":[0.005782047,0.001182318,0.5142395,0.001191747,0.00004847685,0.0009678161,0.0008787467,0.0003536302,0.3454647,0.1212598,0.008240683,0.0003904419],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8738357,0.00006554519,0.1204348,0.005126771,0.0002938627,0.00003964201,0.000004345522,0.00001710717,0.000182259],"genre_scores_gemma":[0.9934943,0.00003229457,0.006364937,0.00003334879,0.00003041537,0.000001319926,3.530731e-7,0.000002866929,0.000040193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4662898,"threshold_uncertainty_score":0.1887913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0640364429089476,"score_gpt":0.3551888073747328,"score_spread":0.2911523644657852,"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."}}