{"id":"W2891029810","doi":"10.1109/ssrr.2018.8468608","title":"User Interface for Unmanned Surface Vehicles Used to Rescue Drowning Victims","year":2018,"lang":"en","type":"article","venue":"","topic":"Maritime Navigation and Safety","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Teleoperation; Interface (matter); Human–computer interaction; Graphical user interface; Haptic technology; Computer science; User interface; Telerobotics; Computer security; Engineering; Aeronautics; Simulation; Robot; Mobile robot; Artificial intelligence; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000169765,0.0001133134,0.0001231796,0.00003807486,0.00007387901,0.00004596728,0.0001293426,0.00006964016,0.0005361355],"category_scores_gemma":[0.00003473308,0.0001099507,0.0000396521,0.0001545232,0.0000178924,0.0001069498,0.00003441587,0.00006828869,0.0003681406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004337293,"about_ca_system_score_gemma":0.00000810217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003178987,"about_ca_topic_score_gemma":0.0002003406,"domain_scores_codex":[0.9993293,0.00001184676,0.0001787087,0.0001554966,0.00009225118,0.0002324111],"domain_scores_gemma":[0.9995617,0.00006601043,0.000008454016,0.0001825484,0.00008032825,0.0001009072],"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":[0.0004335534,0.0001093286,0.008701874,0.0004033597,0.0002733092,0.000004049535,0.01051574,0.2435138,0.4972966,0.01022192,0.2052496,0.02327683],"study_design_scores_gemma":[0.0009692032,0.0001715157,0.002359843,0.00006037571,0.00001333478,0.000001967235,0.0003132564,0.2776582,0.4602236,0.000160871,0.2576216,0.0004461558],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.823503,0.00001616003,0.1575463,0.0006871694,0.0004026534,0.000359517,0.00001100796,0.0006656388,0.01680861],"genre_scores_gemma":[0.9788777,0.000001006445,0.01522391,0.0002018486,0.0001081055,0.00001144519,0.000006475955,0.00003546299,0.00553411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1553746,"threshold_uncertainty_score":0.5870308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01689856113751845,"score_gpt":0.2691829086464733,"score_spread":0.2522843475089548,"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."}}