{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00513406,0.001380251,0.0008808291,0.004375098,0.002428909,0.01563767,0.001372797,0.003511098,0.08944032],"category_scores_gemma":[0.004089353,0.0006284057,0.0004252071,0.007267452,0.003926625,0.008273033,0.004907457,0.002520935,0.03090196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005449562,"about_ca_system_score_gemma":0.01434496,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06525644,"about_ca_topic_score_gemma":0.1278167,"domain_scores_codex":[0.9978136,0.000561129,0.0001253475,0.0002727455,0.0009506571,0.0002765298],"domain_scores_gemma":[0.9942551,0.001508043,0.0001293139,0.0005507824,0.001767757,0.0017889],"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":[0.00007202978,0.00008766696,0.001540407,0.0007351578,0.00001566396,0.000114256,0.003394324,0.0001842587,0.001290027,0.01530817,0.650905,0.326353],"study_design_scores_gemma":[0.00001603624,0.00003086233,0.003327997,0.000707831,0.00001657455,0.0001885,0.002532985,0.0003909061,0.001008614,0.005641554,0.9861172,0.00002111025],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0123217,0.1382041,0.0307451,0.05048542,0.01159721,0.000485662,0.003521562,0.009202672,0.7434366],"genre_scores_gemma":[0.03026622,0.0451295,0.008966482,0.001869087,0.002168613,0.0002147042,0.003185251,0.001919353,0.9062808],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9347436,"threshold_uncertainty_score":0.2992077,"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."}}