{"id":"W2765583527","doi":"10.1115/detc2017-67415","title":"Body Gesture-Based User Interaction in Design Review","year":2017,"lang":"en","type":"article","venue":"","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Gesture; Naturalness; Computer science; Human–computer interaction; Process (computing); User interface; Interface (matter); Artificial intelligence; Programming language","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":[],"consensus_categories":[],"category_scores_codex":[0.0007084993,0.00009257455,0.0001693852,0.00007009687,0.00009904082,0.0002686078,0.0006805275,0.00004571812,0.00005668107],"category_scores_gemma":[0.0001700454,0.00007111961,0.00004551972,0.00008615854,0.00001309428,0.0006785432,0.00006865191,0.0001120698,0.0004221532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003388656,"about_ca_system_score_gemma":0.00005083967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006391239,"about_ca_topic_score_gemma":0.00005027369,"domain_scores_codex":[0.9990669,0.0001594213,0.0002145229,0.000249454,0.0001667008,0.0001429247],"domain_scores_gemma":[0.9988524,0.0001013514,0.0001465332,0.0007724193,0.00007355228,0.00005369482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006701825,0.0009222676,0.03170586,0.002600136,0.00009531769,0.0004560054,0.0006673803,0.0003138547,0.004007865,0.02399614,0.2192616,0.7159066],"study_design_scores_gemma":[0.00401522,0.0004103574,0.136896,0.01641573,0.0000443395,0.0001949265,0.00003534069,0.06893109,0.02699831,0.002120857,0.7422199,0.00171795],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.000289722,0.0007116784,0.9766113,0.00667538,0.0006893044,0.0004720583,2.87904e-7,0.0001075101,0.01444279],"genre_scores_gemma":[0.9603818,0.000435016,0.03332383,0.004156224,0.0001132094,0.000108687,0.000001907855,0.00001024838,0.001469089],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9600921,"threshold_uncertainty_score":0.5426066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0687259402324585,"score_gpt":0.3306537846997938,"score_spread":0.2619278444673353,"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."}}