{"id":"W2943824501","doi":"10.1145/3290607.3299005","title":"HCI in China","year":2019,"lang":"en","type":"article","venue":"","topic":"Usability and User Interface Design","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"China; Computer science; Human–computer interaction; Explosive material; Knowledge management; Engineering ethics; Engineering; Political science; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001506004,0.0000365499,0.00005294142,0.00003316506,0.00000652395,0.00003922698,0.0004231362,0.00002029493,0.0002792838],"category_scores_gemma":[0.000007440158,0.00002977963,0.00001599538,0.0001400738,0.000005392847,0.000260582,0.00008476627,0.00005583116,0.001383721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000135251,"about_ca_system_score_gemma":0.0000131919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007885139,"about_ca_topic_score_gemma":0.00002697426,"domain_scores_codex":[0.9995773,0.00002207259,0.00007138096,0.0001559933,0.00006853016,0.0001047166],"domain_scores_gemma":[0.9996205,0.00002297259,0.000007846425,0.0003223421,0.000006824962,0.00001953556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00001539831,0.0003532114,0.2484655,0.00003814505,0.00000936696,0.00001379719,0.005152414,0.0008405213,0.006552804,0.6914434,0.006808135,0.04030734],"study_design_scores_gemma":[0.0009404093,0.0003180287,0.6273363,0.00003317212,9.297382e-7,0.00001129173,0.00006655638,0.2626092,0.02911343,0.05568248,0.02342299,0.0004651477],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8127093,0.00001099762,0.1111496,0.001367752,0.0002314111,0.00009372427,8.63426e-8,0.00008296219,0.07435413],"genre_scores_gemma":[0.9883382,6.178575e-7,0.008107002,0.0002530444,0.000004439645,0.000001560487,6.784204e-8,0.000001264822,0.003293847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6357609,"threshold_uncertainty_score":0.9993938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009658552691263244,"score_gpt":0.224026122288989,"score_spread":0.2143675695977257,"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."}}