{"id":"W7015814987","doi":"","title":"Towards more accurate immersive 3D sketching","year":2019,"lang":"en","type":"dissertation","venue":"Summit (Simon Fraser University)","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Consejo Nacional de Ciencia y Tecnología","keywords":"Perception; Quality (philosophy); Affect (linguistics); Object (grammar); Work (physics); Virtual reality; Cognition; User interface","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.003553216,0.0009861591,0.0005744004,0.0008354826,0.0002758629,0.005371401,0.001945417,0.001266377,0.01187028],"category_scores_gemma":[0.02197151,0.0008489334,0.00121318,0.0006338753,0.0009945504,0.005024835,0.003992409,0.001838196,0.002569879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003659755,"about_ca_system_score_gemma":0.0004426103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006321652,"about_ca_topic_score_gemma":0.0005654414,"domain_scores_codex":[0.9971993,0.001005489,0.0002438932,0.0003862551,0.001050376,0.0001146623],"domain_scores_gemma":[0.9886655,0.006632077,0.0007091189,0.001911598,0.001767817,0.0003138016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004125654,0.0006242928,0.004890263,0.0043917,0.0001772436,0.0006228245,0.02422997,0.02983125,0.2241926,0.02946068,0.005197176,0.6759695],"study_design_scores_gemma":[0.0004506056,0.003747888,0.02753461,0.002759174,0.0005184222,0.005622815,0.01772709,0.2357148,0.2939036,0.05184945,0.3593239,0.0008476932],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1254151,0.001704703,0.8571151,0.0009644048,0.0002059319,0.000313058,0.0002588221,0.002820622,0.01120219],"genre_scores_gemma":[0.2815891,0.002826826,0.7078406,0.0003158543,0.00006028461,0.00026251,0.0004020464,0.0004998635,0.006202877],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01187028,"threshold_uncertainty_score":0.03970999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01208508199195038,"score_gpt":0.2474729642244222,"score_spread":0.2353878822324718,"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."}}