{"id":"W2967482347","doi":"10.1109/rose.2019.8790419","title":"Collaboration of multi-domain marine robots towards above and below-water characterization of floating targets","year":2019,"lang":"en","type":"article","venue":"","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Robot; Underwater; Computer science; Marine engineering; Remotely operated underwater vehicle; Bathymetry; Real-time computing; Hull; Scheduling (production processes); Visual servoing; Artificial intelligence; Mobile robot; Remote sensing; Simulation; Engineering; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001310362,0.00007664313,0.0001630184,0.00005328411,0.00001592035,0.00001705197,0.00006623044,0.0000488406,0.00009101227],"category_scores_gemma":[9.553445e-7,0.00006163276,0.00001645886,0.00008525686,0.00001098933,0.0001693498,0.0000584758,0.00003588312,0.000008469161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000015594,"about_ca_system_score_gemma":0.000006026702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006293772,"about_ca_topic_score_gemma":0.00002865577,"domain_scores_codex":[0.9994247,0.00002703546,0.0002977265,0.0000767921,0.00008774493,0.00008599219],"domain_scores_gemma":[0.9996693,0.000007706678,0.00005209708,0.0001530379,0.00009642741,0.00002143204],"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":[0.000004276246,0.00001338724,0.005198164,0.000130169,0.00001898646,6.746077e-8,0.001280593,0.0005765887,0.9894587,0.00006494548,0.000001542237,0.003252554],"study_design_scores_gemma":[0.0005593787,0.00003322908,0.03480032,0.00003635849,0.000005398605,0.000001359029,0.0003932798,0.05385464,0.9093084,0.00003182018,0.000859045,0.0001167005],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9681621,0.00002624666,0.03048568,0.00006482609,0.00004947033,0.00020777,0.000007696965,0.00004363815,0.0009526253],"genre_scores_gemma":[0.9921197,0.0000370504,0.007415727,0.00001010793,0.00001129097,0.000004856328,0.00007571446,0.00001450704,0.0003110525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08015026,"threshold_uncertainty_score":0.2513311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008096706707265384,"score_gpt":0.2035740016236612,"score_spread":0.1954772949163958,"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."}}