{"id":"W4312327775","doi":"10.1177/1071181322661300","title":"Comparing two Designs for Removing edge Violation of Stereoscopic 3d Maps","year":2022,"lang":"en","type":"article","venue":"Proceedings of the Human Factors and Ergonomics Society Annual Meeting","topic":"Advanced Optical Imaging Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Stereoscopy; Enhanced Data Rates for GSM Evolution; Artifact (error); Computer vision; Computer science; Computer graphics (images); Artificial intelligence; Terrain; Visualization; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003160473,0.001074484,0.0006159951,0.0009677482,0.0002851659,0.0009009397,0.0007951163,0.0009754992,0.006204893],"category_scores_gemma":[0.02137831,0.0006204347,0.001071639,0.0004593114,0.0004644917,0.0008803604,0.0009523954,0.0006121937,0.0005208724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003587163,"about_ca_system_score_gemma":0.0005007302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00053746,"about_ca_topic_score_gemma":0.00061206,"domain_scores_codex":[0.9966214,0.001504551,0.0004888155,0.0003564048,0.0008664887,0.0001624841],"domain_scores_gemma":[0.9842557,0.01101387,0.001119418,0.001274089,0.001913924,0.0004228996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.07948444,0.009655035,0.01639489,0.01245887,0.001342495,0.0005137113,0.006417924,0.007918003,0.3070674,0.005334191,0.003030298,0.5503827],"study_design_scores_gemma":[0.02965986,0.3663886,0.2443861,0.001881169,0.007550906,0.001957854,0.006348882,0.03872726,0.2344577,0.00851424,0.05889093,0.001236551],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9195624,0.0008886337,0.07212448,0.0001001394,0.0003891947,0.003035864,0.0002955116,0.0004944298,0.003109385],"genre_scores_gemma":[0.7702438,0.0007288095,0.2171758,0.0001620424,0.00008917999,0.007984984,0.0004603282,0.0002045404,0.002950592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006204893,"threshold_uncertainty_score":0.0207575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03174691960987233,"score_gpt":0.2497270956064651,"score_spread":0.2179801759965927,"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."}}