{"id":"W4296142714","doi":"","title":"Turbulent Touch: Touchscreen Input for Cockpit Flight Displays","year":2017,"lang":"en","type":"preprint","venue":"Open Archive Toulouse Archive Ouverte (University of Toulouse)","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Saskatchewan","funders":"","keywords":"Touchscreen; Cockpit; Computer science; Human–computer interaction; Computer graphics (images); Flight simulator; Aeronautics; Simulation; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005167816,0.0005604911,0.0003454582,0.0004577802,0.0002471113,0.0008542813,0.0005617555,0.0004451333,0.009614541],"category_scores_gemma":[0.001766383,0.00024668,0.0002528679,0.0003996638,0.00031264,0.0005844778,0.0009509049,0.000271596,0.0008883851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001721955,"about_ca_system_score_gemma":0.0001544114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007121195,"about_ca_topic_score_gemma":0.0008966142,"domain_scores_codex":[0.9996071,0.000110267,0.00002201091,0.00007082234,0.0001336309,0.0000561345],"domain_scores_gemma":[0.9993112,0.0003808105,0.00005127223,0.00009892863,0.00009114289,0.00006675435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003011646,0.0003043926,0.007472435,0.00108737,0.00008504783,0.001079873,0.001298274,0.005002738,0.7265487,0.00124589,0.004630727,0.2482328],"study_design_scores_gemma":[0.0005556775,0.01045263,0.326506,0.0004564172,0.0003159447,0.005174655,0.001417721,0.08386617,0.51112,0.002843487,0.05690216,0.0003891842],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.681798,0.00159499,0.2918474,0.00019944,0.0001086245,0.0004980907,0.001209249,0.01265991,0.01008434],"genre_scores_gemma":[0.9358432,0.0004524351,0.05767315,0.0001244988,0.00003158676,0.0001697307,0.000692867,0.0004856775,0.004526889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009614541,"threshold_uncertainty_score":0.0321638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04723150318981249,"score_gpt":0.2845435496537103,"score_spread":0.2373120464638978,"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."}}