{"id":"W2775354815","doi":"","title":"HCI in Business, Government, and Organizations: Information Systems Third International Conference, HCIBGO 2016, Held as Part of HCI International 2016, Toronto, Canada, July 17-22, 2016, Proceedings, Part II","year":2016,"lang":"en","type":"book","venue":"Springer eBooks","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Library science; Political science; Information system; Public administration; International business; Management; Media studies; Public relations; Regional science; Sociology; Computer science; Economics; Law","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":[0.000412632,0.0005885308,0.0006027191,0.0002913234,0.0001881287,0.0006428938,0.001021235,0.0003881003,0.001621293],"category_scores_gemma":[0.00031555,0.0005216334,0.00005736693,0.0001439144,0.0001788253,0.003171513,0.001018129,0.0003014341,0.0001770399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008174144,"about_ca_system_score_gemma":0.001456754,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06339116,"about_ca_topic_score_gemma":0.05160711,"domain_scores_codex":[0.996333,0.000007500351,0.001281675,0.0005809161,0.001358072,0.0004388609],"domain_scores_gemma":[0.9960234,0.00004277688,0.001439864,0.0003765829,0.002066876,0.0000504776],"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":[0.0001068792,0.00006159816,0.001821476,0.0007645622,0.0002116961,0.000007663069,0.00009272881,0.000005768446,0.00006452272,0.1105227,0.8796695,0.006670873],"study_design_scores_gemma":[0.0005536171,0.00001112889,0.000856296,0.003174182,0.00007399094,0.000008974993,0.0001381138,0.0001801391,0.00006332358,0.0009642315,0.9933681,0.0006079284],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004461727,0.0004618008,0.0001651754,0.0005690411,0.005589069,0.0008120291,0.0007176282,0.00008819103,0.9911509],"genre_scores_gemma":[0.02024591,0.001697275,0.00006556488,0.001093474,0.004731078,0.0001743037,0.001123023,0.0001139626,0.9707554],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1136985,"threshold_uncertainty_score":0.9997236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01720487505052443,"score_gpt":0.2192132978310618,"score_spread":0.2020084227805374,"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."}}