{"id":"W4387687635","doi":"10.3390/drones7100635","title":"Bubble Plume Tracking Using a Backseat Driver on an Autonomous Underwater Vehicle","year":2023,"lang":"en","type":"article","venue":"Drones","topic":"Oil Spill Detection and Mitigation","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Underwater; Computer science; Environmental science; Marine engineering; Tracking (education); Grid; Real-time computing; Plume; Bathymetry; Intervention AUV; Remote sensing; Remotely operated underwater vehicle; Geology; Artificial intelligence; Meteorology; Mobile robot; Robot; Engineering; Oceanography; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001883291,0.0003121539,0.0002721909,0.0003330901,0.0002545124,0.0002933491,0.0005985698,0.0003317856,0.0008646923],"category_scores_gemma":[0.0004345421,0.0001682169,0.0001790415,0.00008141709,0.0002036026,0.0003129477,0.0006143718,0.0001922418,0.0001833687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002978951,"about_ca_system_score_gemma":0.0006139103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01035876,"about_ca_topic_score_gemma":0.01258834,"domain_scores_codex":[0.9998355,0.00001792579,0.000004693376,0.00003812736,0.00007235289,0.00003142673],"domain_scores_gemma":[0.9997314,0.0000488265,0.00002562168,0.00004262327,0.0001075823,0.00004393038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009068696,0.0005271572,0.03618184,0.0001542879,0.0001214252,0.0009300405,0.001273371,0.04264411,0.7129676,0.001067067,0.001553042,0.2016732],"study_design_scores_gemma":[0.000119973,0.001958131,0.01909781,0.00001203881,0.00006614639,0.0004494678,0.0003266255,0.7929866,0.1792224,0.0002591596,0.005403955,0.00009781753],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9389808,0.00003715223,0.05784678,0.00006875293,0.00002568693,0.0001101092,0.0000674129,0.001030841,0.001832556],"genre_scores_gemma":[0.9710066,0.00001965546,0.02723524,0.00004438965,0.000003729557,0.0000322226,0.00009086406,0.0000272991,0.001539891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01035876,"threshold_uncertainty_score":0.02059692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0294487372065574,"score_gpt":0.2628962800918894,"score_spread":0.233447542885332,"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."}}