{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003025866,0.0003783501,0.0004231159,0.0003644573,0.0003473059,0.0004470678,0.0004358962,0.0003223461,0.0005559789],"category_scores_gemma":[0.0008339567,0.0001871006,0.0003796657,0.0001997314,0.0003304689,0.0005363355,0.001335945,0.0003753999,0.0001531861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000218659,"about_ca_system_score_gemma":0.0004464856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001408616,"about_ca_topic_score_gemma":0.001541823,"domain_scores_codex":[0.9997297,0.00004657046,0.00001156116,0.00007333063,0.0001004806,0.00003836862],"domain_scores_gemma":[0.999606,0.00009230006,0.00007211125,0.00009007874,0.00007401553,0.00006555237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004090359,0.0001769728,0.008834586,0.0001115043,0.00007578912,0.000434201,0.0006078941,0.6891603,0.200518,0.001667892,0.0003802285,0.09762356],"study_design_scores_gemma":[0.0000164999,0.0002814582,0.005312528,0.000006605976,0.00002000133,0.00008264257,0.0003571927,0.9533082,0.03820932,0.001032167,0.00135281,0.00002053459],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5757855,0.0000671199,0.4215267,0.00007252971,0.00002334958,0.000065755,0.00004162656,0.0003250398,0.002092468],"genre_scores_gemma":[0.9308616,0.00002241729,0.06839037,0.00001193228,0.000005073277,0.00003089615,0.00004812166,0.00001965132,0.0006100152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001408616,"threshold_uncertainty_score":0.002800882,"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."}}