{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003311949,0.001979701,0.001755865,0.003436887,0.00157193,0.01245389,0.001100694,0.002726093,0.04024931],"category_scores_gemma":[0.003425109,0.0009205386,0.0005270565,0.006910678,0.003068134,0.007467688,0.004032603,0.004048881,0.01523961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002413352,"about_ca_system_score_gemma":0.00597175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01194527,"about_ca_topic_score_gemma":0.02987162,"domain_scores_codex":[0.9985284,0.000409863,0.00009746553,0.0002199845,0.0006322974,0.0001119506],"domain_scores_gemma":[0.9970139,0.001531164,0.00006286492,0.0001901054,0.0007725481,0.0004293436],"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":[0.00003512618,0.0000411654,0.0003383441,0.001628741,0.00002645952,0.00006512942,0.002894085,0.0001841927,0.001741795,0.009343188,0.7046364,0.2790654],"study_design_scores_gemma":[0.00001782871,0.00003794173,0.001835922,0.002069262,0.00002450646,0.0003938927,0.001954212,0.0003350804,0.0003595985,0.01049916,0.9824384,0.00003422425],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.002745849,0.7538965,0.0275177,0.01800973,0.02026872,0.0003093058,0.001420325,0.003626312,0.1722056],"genre_scores_gemma":[0.02583644,0.4266247,0.02946189,0.01182437,0.01164524,0.0008442354,0.0047716,0.002295279,0.4866963],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04024931,"threshold_uncertainty_score":0.1346474,"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."}}