{"id":"W7113392529","doi":"","title":"HCI in Business, Government, and Organizations: eCommerce and Innovation: Third International Conference, HCIBGO 2016, Toronto, Canada, July 17-22: Proceedings, Part II","year":2016,"lang":"en","type":"other","venue":"Singapore Management University Institutional Knowledge (InK) (Singapore Management University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Feature (linguistics); Focus (optics)","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","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005037339,0.001188302,0.000850711,0.003756749,0.001369879,0.0002693162,0.001490479,0.0004699452,0.002654154],"category_scores_gemma":[0.00005467949,0.001428464,0.00009087392,0.004958928,0.001049457,0.001724906,0.003671988,0.0004961114,0.0001633345],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007674699,"about_ca_system_score_gemma":0.0008827071,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009541048,"about_ca_topic_score_gemma":0.1761989,"domain_scores_codex":[0.9950008,0.0001212584,0.0007011807,0.001903932,0.001351014,0.0009217947],"domain_scores_gemma":[0.9971262,0.00004238834,0.0009802202,0.0006044206,0.0009385801,0.0003081761],"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":[0.0001436416,0.0003410438,0.001280825,0.0004729698,0.0008332214,0.0005329921,0.0001278653,0.00001238974,0.000004716047,0.483438,0.5107831,0.002029236],"study_design_scores_gemma":[0.004336454,0.00004355506,0.003433226,0.0025836,0.0006428113,0.00001889343,0.003596688,0.0001270416,0.000002759748,0.0002422216,0.9835011,0.001471645],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004758161,0.0003130064,0.0007681707,0.001125269,0.001255729,0.001742029,0.001453445,0.0004667239,0.9923998],"genre_scores_gemma":[0.00679801,0.005505864,0.001453076,0.0002086422,0.0003635795,0.00000435259,0.001270208,0.0002852956,0.984111],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4831958,"threshold_uncertainty_score":0.9999302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01088378703108929,"score_gpt":0.2032079693153815,"score_spread":0.1923241822842922,"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."}}