{"id":"W1589991063","doi":"10.1109/ithet.2015.7218016","title":"Relevance of MOOCs for training of public sector employees","year":2015,"lang":"en","type":"article","venue":"","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Manitoba","keywords":"Public sector; Scope (computer science); Government (linguistics); Private sector; Business; Public relations; Service (business); Training (meteorology); Political science; Public administration; Marketing; Economic growth; Economics; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004229434,0.0002570768,0.0001927975,0.0008879534,0.003116245,0.005837965,0.0007981137,0.00179319,0.009722276],"category_scores_gemma":[0.01601875,0.000104583,0.0002253876,0.0008546901,0.001193205,0.002967856,0.00224116,0.001665229,0.001181487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004367179,"about_ca_system_score_gemma":0.01017042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00528731,"about_ca_topic_score_gemma":0.008469705,"domain_scores_codex":[0.9952269,0.002575813,0.0001004127,0.000287703,0.001165068,0.0006442611],"domain_scores_gemma":[0.9827337,0.006061896,0.0008933034,0.0008514012,0.003849675,0.005609993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001990573,0.001835451,0.04248709,0.001255351,0.0000255507,0.0009298921,0.02493337,0.0004064807,0.002153273,0.044176,0.07355,0.8080485],"study_design_scores_gemma":[0.00007571544,0.001127424,0.1622129,0.003250849,0.00006256293,0.0011149,0.09858613,0.001562264,0.003138915,0.02142709,0.707352,0.00008920838],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3701579,0.01035225,0.005242947,0.2482255,0.004089817,0.0008754273,0.0002558097,0.0003243223,0.360476],"genre_scores_gemma":[0.9677995,0.002390245,0.001945394,0.00744396,0.001171193,0.0001325018,0.00008166211,0.00005650596,0.01897907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009722276,"threshold_uncertainty_score":0.03252423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1477219288589202,"score_gpt":0.3224354556832342,"score_spread":0.1747135268243139,"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."}}