{"id":"W4392958414","doi":"10.3390/jmse12030505","title":"A User Interface Design Framework for Augmented-Reality-Supported Maritime Navigation","year":2024,"lang":"en","type":"article","venue":"Journal of Marine Science and Engineering","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Norges Forskningsråd","keywords":"Augmented reality; Computer science; Situation awareness; Human–computer interaction; Global Positioning System; Interface (matter); User interface; Turn-by-turn navigation; Telecommunications; Robot; Engineering; Mobile robot","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":[0.005956671,0.002178792,0.0008036324,0.001911186,0.001116364,0.004122098,0.003506796,0.002977228,0.006528775],"category_scores_gemma":[0.005933785,0.001240287,0.00225863,0.0008701435,0.00179257,0.003317191,0.002944229,0.003023188,0.002581676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001388283,"about_ca_system_score_gemma":0.00260507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005505576,"about_ca_topic_score_gemma":0.005692481,"domain_scores_codex":[0.99626,0.001437651,0.0004458009,0.0003668922,0.001230071,0.000259519],"domain_scores_gemma":[0.9978148,0.0008207689,0.0001300961,0.0002627683,0.0007884527,0.0001830403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002919112,0.0004287248,0.001099712,0.002509451,0.0001951117,0.001705108,0.01619267,0.03661001,0.05177971,0.5541626,0.0212039,0.313821],"study_design_scores_gemma":[0.0002034614,0.00061848,0.001021252,0.002027839,0.0002570517,0.002588063,0.002171973,0.2729805,0.02105353,0.1155091,0.5812503,0.0003184856],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.000837152,0.0001870407,0.9949228,0.0001327777,0.00004115756,0.0002412937,0.00005762021,0.001242126,0.002337986],"genre_scores_gemma":[0.02230475,0.0003324269,0.9713171,0.0001233199,0.00002203132,0.0009897709,0.0003139492,0.0003785511,0.004218232],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006528775,"threshold_uncertainty_score":0.03150225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02017067137440188,"score_gpt":0.2887817077493034,"score_spread":0.2686110363749015,"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."}}